UMMAT Scientific Journals (Universitas Muhammadiyah Mataram)
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Application on Hypergraph in Vigenere Chiper
Full text linkMessage protection remains a major focus in the field of cryptography. This study proposes a new development on the Caesar cipher algorithm by utilizing hypergraph as a keystream generation source. The research designs a super (a,d)-hyperedge antimagic total labeling method applied to three hypergraph structures (Volcano, Semi Parachute, and Comb) to generate the keystream. Security is evaluated using four mechanisms: brute force analysis, processing time, ciphertext character distribution, and ciphertext bit size. The findings prove that the hypergraph based approach is robust against brute force attacks, improve memory and time efficiency. Quantitatively, the Comb hypergraph demonstrates the best efficiency, achieving an encryption time of 0.0030 seconds for 512 bytes and superior storage efficiency (e.g., 136 bytes for 16 bytes ), outperforming the Semi Parachute and Volcano structures. The main contributions include the hypergraph labeling-based keystream generation algorithm, dynamic block key construction, and a Vigenere protocol that is more adaptive to storage constraints and computationally efficient.
The Severe Stunting Cases of Children in Central Java Province Explained by Negative Binomial Regression Model
Full text linkSevere stunting, or very short stature among children, remains a critical public health concern in Central Java Province. Robust statistical modelling is essential to identify the key factors associated with these cases and to guide targeted interventions. This study employs count regression models with an offset variable to analyze the factors influencing severe stunting cases across districts in Central Java. By using 2023 official data in districts level taken from the Ministry of Home Affairs and the Statistics Indonesia, we initially utilize a Poisson regression model in this study. However, due to evidence of overdispersion, a Negative Binomial regression model was adopted. Backward elimination was then applied to obtain the most parsimonious model. The Negative Binomial regression successfully addressed overdispersion. Five factors were identified as having a statistically significant influence on severe stunting cases: (1) the proportion of pregnant mothers with Chronic Energy Deficiency receiving nutritious food supplements, (2) the percentage of toddlers (6-23 months) receiving complementary nutritious food, (3) the proportion of households with access to good sanitation, (4) Gross Domestic Product per capita, and (5) the number of local healthcare facilities. These factors have negative relation to the stunting rates, meaning improving these factors will reduce the rates of severe stunting. The findings provide a validated statistical model for severe stunting and offer clear policy directions. To mitigate severe stunting, local governments should prioritize: enhancing nutritious food support for pregnant mothers and toddlers, improving household sanitation, stimulating local economic growth, and increasing accessibility to healthcare facilities
Modular Coloring of Comb Graph, Lintang Graph, and Butterfly Graph
Full text linkGiven any graph G that contains no isolated vertices, a labeling c is a mapping from its vertex set to the set of integers modulo k (c:V(G)→Z_k) for k≥2, adjacent vertices are allowed to share the same color. The number of color labels of a vertex v (σ(v)), is the number of color labels of the neighborhood of vertex v (N(v)). A labeling c is a modular k-coloring of G if σ(x) ≠ σ(y) in Z_k for all vertices x,y that are neighbors in G. Denoted as mc(G), the modular chromatic number of G is defined as the least integer k that allows for a modular k-coloring of the graph. This research seeks to ascertain the modular chromatic number of the comb graph Cb_n, the lintang graph L_n, and the butterfly graph BF(n). The first step in this research is to define the labeling c, then determine (N(v)). Next, determine the number of color labels from the neighborhood at each vertex with σ(x)≠σ(y) in Z_k for x,y being all neighboring vertices. After the condition σ(x)≠σ(y) in Z_k is satisfied, ascertain mc(G). By performing the same steps on each graph with increasingly larger values of n, a modular coloring pattern will emerge, which is used to formulate the modular coloring formula. This process concludes with the formulation of a modular coloring formula and the determination of the modular chromatic number for comb graph Cb_n, lintang graph L_n, and butterfly graph BF(n). Based on this research, mc(Cb_n)=2, mc(L_n)=2, and mc(BF(n))=3 are obtained
Pengaruh Pengetahuan Terhadap Perilaku Apoteker Pada Penggunaan Obat Halal di Kabupaten Sleman
Full text linkIndonesia sebagai negara dengan mayoritas penduduk muslim mewajibkan produk yang beredar memiliki sertifikasi halal, sesuai Undang-Undang Nomor 33 Tahun 2014 tentang Jaminan Produk Halal (JPH). Apoteker sebagai tenaga kesehatan berperan penting dalam memastikan penggunaan obat halal. Penelitian ini bertujuan mengetahui pengaruh tingkat pengetahuan apoteker terhadap perilaku penggunaan obat halal di Kabupaten Sleman. Metode yang digunakan adalah observasional analitik dengan pendekatan cross-sectional dan kuesioner sebagai instrumen utama. Sebanyak 100 apoteker dipilih melalui purposive sampling. Hasil menunjukkan 89% responden memiliki pengetahuan “baik” tentang obat halal, sementara perilaku penggunaan obat halal berada pada kategori “cukup” sebesar 62%. Uji korelasi Spearman menunjukkan nilai r = 0,605 dan P = 0,000, yang mengindikasikan adanya hubungan signifikan antara pengetahuan apoteker dengan perilaku penggunaan obat halal
Pengembangan Formula Sediaan Patch Ekstrak Propolis Tetragonula sp. Menggunakan Metode Simplex Lattice Design
Full text linkPropolis mengandung flavonoid yang memiliki aktivitas antiinflamasi pada konsentrasi 5%. Flavonoid memiliki permeabilitas rendah pada kulit, sehingga diformulasikan dalam bentuk patch. Pembuatan patch memerlukan HPMC dan PVP sebagai polimer untuk menjaga kualitas fisik patch. Penelitian ini bertujuan untuk mengoptimasi konsentrasi polimer pada patch dengan kandungan ekstrak propolis. Penelitian dilakukan dengan mengekstraksi propolis menggunakan etanol 70% dengan metode maserasi dan dilanjutkan dengan uji kualitatif flavonoid. Untuk proses optimasi, digunakan metode simplex lattice design (SLD) dengan variabel yang dioptimalkan yaitu konsentrasi HPMC dan PVP. Parameter respon yang dievaluasi yaitu sifat fisik meliputi pH, ketebalan, ketahanan lipat, dan daya serap kelembapan. Formula optimum dievaluasi sifat fisik seperti sebelumnya dengan tambahan uji organoleptis dan keseragaman bobot. Kemudian, formula optimum diverifikasi menggunakan analisis statistik one sample t-test pada perangkat lunak SPSS versi 25 dengan nilai P > 0,05. Hasil penelitian didapatkan rendemen ekstrak sebesar 43,54% dan positif mengandung flavonoid. Berdasarkan metode SLD diperoleh formula optimum dengan konsentrasi HPMC 6% dan PVP 1%. Patch formula optimum memiliki tekstur yang halus, berwarna jernih kekuningan, dan beraroma khas propolis. Verifikasi formula optimum menunjukkan tidak adanya perbedaan bermakna antara respon percobaan dan respon prediksi dengan nilai pH 4,92±0,015; ketebalan 0,218±0,003 mm; ketahanan lipat 343±2,00 dan daya serap kelembapan 5,26±0,047%. Formula patch optimum yang mengandung HPMC 6% dan PVP 1% menghasilkan karakteristik fisik yang baik dan hasil verifikasi yang menunjukkan kesesuaian antara respon prediksi dan hasil percobaan
PENERAPAN TEKNOLOGI HIDROGEL-NANO MATERIAL UNTUK PENINGKATAN PRODUKTIVITAS CABAI PADA TANAH SALIN MELALUI KEMITRAAN MASYARAKAT DI PULAU BAHO, SULAWESI TENGGARA
Full text linkABSTRAK Pulau baho terletak di Desa Labuan Beropa, Kecamatan Laonti, Kabupaten Konawe Selatan, Sulawesi Tenggara. Pulau Baho masih 1 daratan dengan laonti akan tetapi tidak adanya akses darat sehingga akses menuju dusun Baho menggunakan perahu. Sebagian besar dari masyarakatnya adalah nelayan yang sangat tergantung pada ekosistem pesisir. Kondisi perairan yang kadang tidak bersahabat menyebabkan nelayan sering menunda penangkapan ikan sehingga mempengaruhi pendapatan perekonomian. Dusun Baho umumnya memiliki tanah dengan tekstur pasir, berkadar garam dan rendah unsur hara. Oleh sebab itu, lahan dikawasan pesisir Baho dapat dikatakan tidak dapat memberikan kontribusi pendapatan dari sektor pertanian bagi penghuninnya. Pengabdian ini bertujuan memberdayakan masyarakat dusun baho khususnya kelompok “Gold Mom’ yang beranggotakan 20orang melalaui penerapan teknolgi hidrogel-nanomaterial dalam budidaya cabai pada tanah salin dengan waktu kegaitan selama 8 bulan. Budidaya tanaman pangan seperti cabai merupakan produk holtikultura yang bernilai ekonomi tinggi yang bersifat multiguna, karena dapat digunakan sebagai bahan pangan maupun obat-obatan. Selain itu, program ini juga mencakup pelatihan budidaya, pengolahan pasca panen (Saus sambal dan cabai bubuk), Pembentukan kelompok tani serta manajemen usaha tani yang mandiri. Metode pelaksanaan terdiri dari sosialisasi, pelatihan teknis, penerapan teknologi, pendampingan kelompok hingga evaluasi berkelanjutan. Luaran yang ditargetkan meliputi meningkatnya keterampilan masyarakat dalam budidaya dan pengolahan cabai, terbentuknya kelompok tani, serta publikasi jurnal. Dampak jangka panjang yang diharapkan adalah peningkatan kemandirian ekonomi masyarakat pesisir dan model usaha tani cabai berbabsis inovasi yang berkelanjutan. Hasil kegiatan penerapan teknologi untuk peningkatan pertumbuhan tanaman cabai menunjukkan ada peningkatan 50-70% dibanding tanaman yang tidak menggunakan Hodrogel-Nano dan juga adanya kegiatan baru bagi kelompok ibu-ibu di dusun baho Hasil kegiatan penyuluhan dan pelatihan menunjukkan ada peningkatan pemahaman masyarakat dalam penanaman cabai dan juga pascapanen.Kata Kunci: Teknologi Hidrogel-Nano Material, Budidaya Cabai, Pemberdayaan Masyarakat, Pascapanen. ABSTRACTBaho Island is located in Labuan Beropa Village, Laonti District, South Konawe Regency, Southeast Sulawesi. Baho Island shares a landmass with Laonti, but there is no land access, so access to Baho Hamlet is by boat. Most of the residents are fishermen who depend heavily on the coastal ecosystem. The sometimes unfriendly water conditions often cause fishermen to postpone fishing, which impacts their income. Baho Hamlet generally has sandy soil with a high salt content and low nutrient content. Therefore, the land in the Baho coastal area can be said to be unable to contribute to agricultural income for its residents. This community service aims to empower the Baho hamlet community, especially the 20-member "Gold Mom" group, through the application of hydrogel-nanomaterial technology in chili cultivation on saline soil with an activity period of 8 months. Cultivation of food crops such as chili is a horticultural product with high economic value that is multipurpose, because it can be used as food and medicine. In addition, this program also includes training in cultivation, post-harvest processing (chili sauce and chili powder), the formation of farmer groups and independent farming business management. The implementation method consists of socialization, technical training, technology application, group mentoring to continuous evaluation. Targeted outputs include increasing community skills in chili cultivation and processing, the formation of farmer groups, and journal publications. The expected long-term impact is increased economic independence of coastal communities and a chili farming business model based on sustainable innovation. The results of the application of technology to increase chili plant growth show a 50-70% increase compared to plants that do not use Hydrogel-Nano and also the creation of new activities for mothers' groups in Baho hamlet. Results of extension activities The training demonstrated an increase in community understanding of chili cultivation and post-harvest management.Keywords: Hydrogel-Nano Material Technology, Chili Cultivation, Community Empowerment, Post-Harvest
Analysis and Comparison of Modeling Methods for Energy Consumption Forecasting Based on Big Data
Full text linkThis study presents a systematic literature review aimed at analyzing and comparing modeling methods used in forecasting energy consumption based on big data. Literature sources were selected from Google Scholar, DOAJ, and SCOPUS, spanning the years 2014-2024. The research findings indicate that the use of machine learning models, such as SVM, ANN, RF, and classical statistical models, has demonstrated superiority in capturing complex energy consumption patterns. However, the importance of selecting exogenous data and time lags in the complexity and accuracy of machine learning model predictions is also highlighted. The involvement of diverse prediction methods allows researchers to accommodate variations in data characteristics and environmental conditions. Additionally, a strong theoretical foundation and exploration of advanced data analysis methods are crucial in maximizing the potential of big data in predicting energy consumption. These findings affirm that there is no single model suitable for all situations, and careful evaluation of contextual factors and data characteristics is essential in selecting the most appropriate forecasting method. Lastly, the importance of human factors and work culture in modeling performance is also emphasized, underscoring the integration of human factors in the development and implementation of predictive models. Thus, this research provides valuable insights for the development of effective modeling methods in forecasting energy consumption based on big data
PHYSICAL AND CHEMICAL PROPERTY ANALYSIS OF CHILI PEPPERS (Capsicum frutescens) DURING OVEN DRYING AT DIFFERENT TEMPERATURES
Full text linkChili Peppers(Capsicum frutescens) is a local chili variety typical of Sumbawa that has a high level of spiciness and nutrient content such as vitamin C and antioxidants. However, the short shelf life is an obstacle in its utilization, so this study aims to determine the effect of temperature variations in drying using an oven on the physical characteristics (weight loss) and chemistry (moisture content, vitamin C, and antioxidant activity) of forest cayenne pepper. The method used was a one-factor Complete Random Design (RAL), namely drying temperatures (50°C, 60°C, and 70°C), each with three replicates. The results showed that weight loss increased with temperature increase, highest at 60°C, but not statistically significant (p > 0.05). Moisture content decreased in all treatments, but the difference between temperatures was not significant (p > 0.05). The vitamin C content is significantly reduced at high temperatures (p < 0.05), with a temperature of 50°C being able to maintain vitamin C best. In contrast, antioxidant activity increased as the temperature increased, and the temperature of 70°C resulted in the highest DPPH inhibition value significantly (p < 0.05). This study concludes that drying temperature affects physical and chemical parameters differently, so the selection of drying temperature should be adjusted to the purpose of processing, whether to maintain vitamin C or increase antioxidant activity
PELATIHAN LITERASI DIGITAL: MEMBANGUN GENERASI YANG CERDAS BERSAMA SMA NEGERI 3 KOTA TERNATE
Full text linkABSTRAK Teknologi informasi dan komunikasi (TIK) mengalami perkembangan yang pesat dalam beberapa tahun belakangan. Hal ini, menyebabkan masyarakat perlu sikap adaptif agar dapat survive di era digital khususnya kalangan gen Z karena maraknya kejahatan di dunia maya sehingga perlu dilakukan tindakan pencegahan yang masif. Pengabdian kepada Masyarakat yang dilaksanakan oleh Dosen dan Mahasiswa dari Fakultas Ilmu Budaya Universitas Khairun di SMA Negeri 3 Kota Ternate yang berlokasi Kelurahan Gambesi, Kec. Ternate Selatan, Kota Ternate, Maluku Utara. Kordinasi awal yang dilakukan dengan mengunjungi Kepala Sekolah selaku mitra guna manyampaikan permohonan melaksanakan kegiatan pengabdian kepada masyarakat. Kegiatan Pelatihan Literasi Digital dilakukan dengan menggunakan metode ceramah dan praktik dengan tujuan untuk mengedukasi para siswa-siswi agar mengetahui perkembangan teknologi, etika penggunaan AI, pemanfaatan AI dalam pembelajaran dan keamanan digital. Selanjutnya kami juga melakukan evaluasi berupa feedback sebagai acuan terhadap tingkat pemahaman para siswa-siswi tersebut. Hasil dari kegiatan pengabdian ini adalah dosen-dosen dan mahasiswa memberikan dampak yang sangat positif kepada siswa-siswi dalam mengembangkan skill mereka terkait cara menggunakkan aplikasi-aplikasi berbasis AI yang berguna untuk keamanan digital. Selain itu, siswa- siswi mendapatkan kesempatan untuk memperaktikkan cara mendeteksi hoaks melalui konten-konten palsu baik secara teks, gambar, maupun video serta melindungi data-data pribadi mereka dengan menggunakan strong password pada akun-akun media sosial dan mengaktifkan two verification code agar tidak mudah diretas oleh oknum-oknum yang tidak bertanggung jawab.Kata kunci: Pelatihan, Literasi Digital, SMAN 3 Kota Ternate, Maluku Utara. ABSTRACTInformation and communication technology (ICT) has experienced rapid development in recent years. This has led to the need for an adaptive attitude in society to survive in the digital era, especially among Gen Z, due to the rise of cybercrime, necessitating massive preventive measures. Community service was carried out by Lecturers and Students from the Faculty of Cultural Sciences, Khairun University, at SMA Negeri 3 Ternate City, located in Gambesi Village, South Ternate District, Ternate City, North Maluku. Initial coordination was conducted by visiting the Principal as a partner to submit a request to carry out community service activities. Digital Literacy Training activities were carried out using lecture and practical methods with the aim of educating students to understand technological developments, the ethics of using AI, the utilization of AI in learning, and digital security. Furthermore, we also conducted evaluations in the form of feedback as a reference to the level of understanding of these students. The results of this community service activity are that lecturers and students have had a very positive impact on students in developing their skills related to how to use AI-based applications that are useful for digital security. In addition, students have the opportunity to practice how to detect hoaxes through fake content in the form of text, images, and videos, as well as protect their personal data by using strong passwords on social media accounts and activating two verification codes so that they are not easily hacked by irresponsible individuals.Keywords: Training, Digital Literacy, SMAN 3 Ternate City, North Maluku
Impoliteness Strategies in Online Political Discourse: A Study of Hate Comments on Ahmad Sahroni’s Instagram Account
Full text linkLanguage used in digital communication shows how people express feelings and deal with social power. In the case of Indonesia’s social media, being rude or impolite has become a big part of how users share their opinions and criticize others. This study looks into the different ways people use impolite language in comments that target Ahmad Sahroni, an Indonesian lawmaker, on Instagram. This research collected 50 comments from various Instagram posts, including political and lifestyle topics, to cover a wide range of online hostility. This study uses a qualitative descriptive method and applies Computer Mediated Discourse Analysis (CMDA) to understand how social media features influence the way people talk. Culpeper’s Impoliteness Theory is used as the main way to analyze the language. The results show five main types of impolite strategies: bald on record, positive impoliteness, negative impoliteness, sarcasm or mock politeness, and withholding politeness. Among those, positive impoliteness is the most common. People often use moral and religious words to make their comments seem justified, while humor and sarcasm help hide their anger. These findings show that impolite language isn’t just about showing moral judgment in online conversations. This study adds to the understanding of how language works in digital spaces by looking at impoliteness in moral contexts and helps explain how social media supports group behavior around moral responsibilit