E-Journal Universitas Panji Sakti
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Pemantauan Lingkungan Pertanian Dengan Menggunakan Weather Station Berbasis IoT: Solusi Efektif Untuk Petani di Era Digital
Full text linkPertanian di Indonesia menghadapi tantangan besar terkait perubahan iklim, ketidakpastian cuaca, dan kebutuhan untuk meningkatkan produktivitas secara efisien. Pemantauan kondisi lingkungan secara akurat dan tepat waktu sangat penting untuk mendukung keputusan yang lebih baik dalam pengelolaan pertanian. Penelitian ini bertujuan merancang dan mengimplementasikan sistem stasiun cuaca berbasis Internet of Things (IoT) yang dapat memberikan pemantauan real-time terhadap berbagai parameter lingkungan, seperti suhu, kelembaban udara, kelembaban tanah, curah hujan, dan kecepatan angin. Data yang dikumpulkan oleh sensor-sensor ini dikirimkan ke platform cloud untuk dianalisis dan dapat diakses oleh petani melalui aplikasi mobile. Keunggulan utama dari sistem ini adalah kemampuannya untuk menyediakan informasi yang akurat dan relevan bagi petani, memungkinkan mereka untuk mengambil tindakan yang tepat, seperti mengatur irigasi atau melindungi tanaman dari cuaca ekstrem. Sistem ini juga menggunakan energi mandiri yang dihasilkan dari panel surya dan power bank, memberikan solusi yang ramah lingkungan dan berkelanjutan, terutama di daerah pedesaan yang tidak terjangkau oleh jaringan listrik. Meskipun terdapat tantangan terkait akurasi sensor dalam kondisi ekstrem dan pasokan energi yang tidak selalu stabil, hasil penelitian menunjukkan bahwa sistem ini berpotensi meningkatkan efisiensi dan keberlanjutan pertanian. Dengan demikian, stasiun cuaca berbasis IoT menawarkan solusi yang efektif untuk mendukung pertanian cerdas di era digital, mengurangi ketergantungan pada metode tradisional, dan meningkatkan ketahanan pertanian terhadap perubahan cuaca yang cepat dan tidak terduga
Analisis Prediksi Harga Smartphone Tahun 2023 Menggunakan Model Random Forest Regression Berdasarkan Fitur-Fitur Spesifikasi Teknis
Full text linkPenelitian ini bertujuan untuk menganalisis dan memprediksi harga smartphone tahun 2023 menggunakan model Random Forest Regression berdasarkan fitur-fitur spesifikasi teknis. Dataset yang digunakan berasal dari https://www.kaggle.com/datasets/howisusmanali/mobile-prices-2023, dengan jumlah data sebanyak 1837 dan 10 variabel, antara lain Phone Name, Rating ?/5, Number of Ratings, RAM, ROM/Storage, Back/Rare Camera, Front Camera, Battery, Processor, dan Price in INR. Tahap pertama adalah proses data collecting, diikuti dengan pembersihan data (data cleaning) dengan menghapus variabel yang tidak relevan, seperti Phone Name. Selanjutnya, dilakukan tahap data processing, di mana dataset dibagi menjadi data latih (90%) dan data uji (10%), kemudian dilakukan normalisasi dan standarisasi data. Hasil dari model Random Forest Regression yang dibangun menunjukkan Mean Squared Error (MSE) sebesar 9322848,510354057 dan R-squared sebesar 0.9546596207605785. Hasil evaluasi tersebut menunjukkan bahwa model memiliki tingkat akurasi yang tinggi dalam memprediksi harga smartphone berdasarkan fitur-fitur spesifikasi teknisnya
KONSELING LINTAS BUDAYA DALAM MENGHADAPI PENGARUH SOSIAL DAN BUDAYA SISWA DI SEKOLAH
Full text linkSekolah menghadapi tantangan antara masuknya nilai-nilai global yang sering tidak serasi dengan nilai-nilai budaya tradisional atau budaya lokal. Ini membawa dampak pada perubahan lingkungan sosial yang melibatkan berbagai komponen, baik fisik (benda-benda) maupun non-fisik, yaitu bentuk tradisi (bahasa, agama, norma, hukum, pengetahuan, dan pola-pola perilaku lainnya). Perilaku dan interaksi sosial terutama bertumpu pada kualitas konvensi dan tradisi, yang pada dasarnya telah tersedia dalam kenyataan sosial, yang secara tidak disadari telah dimanfaatkan dan dimapankan dalam kehidupan sehari-hari. Sekolah memfasilitasi proses belajar mengajar yang mengubah perspektif monokultural yang esensial, penuh prasangka dan diskriminatif ke perspektif multikultural yang menghargai keragaman , perbedaan, toleran dan sikap terbuka (inklusif). Dalam konteks perilaku siswa ini dibutuhkan pendidik multibudaya, salah satunya adalah konselor. Konselor adalah seorang pendidik.Pendidikan berurusan dengan perilaku manusia yang sedang berkembang sehingga pendidikan memerlukan ilmu-ilmu perilaku manusia. Dalam konteks perilaku manusia ini konselor di sekolah adalah agent of enculturation sebab proses sosialisai terjadi di sini, di mana anak-anak di sekolah belajar aturan-aturan kultural. Proses jika gagal beradaptasi dengan budaya baru akan menimbulkan stress akulturatif
Peningkatan Publisitas PMI Kabupaten Buleleng Melalui Pelatihan Jurnalis dan Multimedia bagi Relawan
Full text linkPengabdian masyarakat yang dilakukan oleh Fakultas Ilmu Administrasi Universitas PanjiSakti kepada Palang Merah Indonesia (PMI) Kabupaten Buleleng. Latar belakang kegiatan iniadalah untuk meningkatkan keterampilan relawan dalam era digital melalui pelatihan jurnalistikdan publikasi media. Metode pelaksanaan pelatihan terdiri dari penyampaian materi oleh tigapembicara ahli yang menjelaskan kiat peningkatan keterampilan digital, pembuatan kegiatanjurnalistik sederhana, dan keterampilan multimedia, yang dilanjutkan dengan praktik membuatberita jurnalistik dan multimedia.Hasil dari pelaksanaan pelatihan menunjukkan bahwa relawan PMI mampu mengaplikasikanteknologi digital dalam kegiatan mereka, yang berdampak positif terhadap efektivitas komunikasidan publikasi. Kesimpulannya, penguatan kapasitas relawan melalui pelatihan ini sangat pentinguntuk mendukung kegiatan kepalangmerahan di masyarakat. Saran yang diberikan adalah perlunyaevaluasi berkala dan pengembangan modul pelatihan yang lebih komprehensif untuk meningkatkankualitas pelatihan di masa mendatang
Price Dynamics and Market Integration of Red Chili Between Farmers and Consumers in Banyumas Regency, Indonesia
Full text linkChili is one of the food commodities that has a fluctuating price. The instability of this price movement makes red chili a cause of price inflation in Banyumas Regency. This study aims to find out the marketing channels, price behavior, and market integration of red chili commodities in Banyumas Regency. The types and sources of data in this study are primary and secondary data. Primary data were obtained based on interviews with traders. Secondary data in the form of red chili prices that apply at the farmer and consumer levels in Banyumas Regency in the period 2019 to 2023. Red chili price data at the farmer level comes from the Department of Agriculture and Food Security of Banyumas Regency. Red chili price data at the consumer level comes from the Department of Industry and Trade of Banyumas Regency. The analysis method in this study is a descriptive quantitative method. Data analysis uses descriptive analysis, coefficient of variation, and Vector Error Correction Model (VECM). The results of the study indicate that the behavior of red chili prices based on the KV values obtained indicates highly fluctuating and unstable behavior. The average KV value at the farmer level, which is 43%, tends to be greater than the consumer level, which is 41%. This shows that the price of red chili at the farmer level is more fluctuating than at the consumer level. The red chili market at the farmer and consumer levels in Banyumas Regency is integrated both in the long term and the short term. There is no causal relationship between the producer and consumer markets in the marketing of red chili in Banyumas Regency
The Income Difference of Credited and Uncredited Cocoa Farming in Central Sulawesi, Indonesia
No full textCocoa plantations in Central Sulawesi have experienced a decline in productivity due to many plants starting to age, pest and disease attacks, and minimal application of technology. Limited capital causes these problems to be challenging to solve, so the solution is to take credit loan capital. However, many farmers still need to be convinced to take credit. Therefore, this study aims to analyze the differences in cocoa farming income with and without credit and the factors influencing farmers' decisions to take credit. The data used is secondary data from the 2013 Agricultural Census: 2014 Plantation Household Survey. Descriptive analysis is used to describe the characteristics of cocoa farmers in Central Sulawesi. Quantitative analysis is used for farm income analysis, propensity score matching, and logistic regression. The research found that credit positively influenced the income of cocoa farmers in Central Sulawesi. However, it was insignificant because credit was not entirely used to finance productive farming. Factors influencing cocoa farmers' decision to take credit in Central Sulawesi are participation in extension services, cooperative membership, farmer group membership, farmer education level, and land area
Analysis of Tea Competitiveness and Factors Affecting Tea Competitiveness of North Sumatra Province, Indonesia in the Malaysian Market
No full textIncreased exports of North Sumatra tea to the Malaysian market will increase competitiveness. This potential provides added value to the national tea processing industry. The research objectives analyzed the competitiveness of North Sumatra tea in the Malaysian Market and analyzed the factors that affect the competitiveness of North Sumatra tea in the Malaysian Market. The research method uses Revealed Comparative advantage (RCA) and Export Product Dynamic (EPD) to analyze the competitiveness of North Sumatra tea in the Malaysian Market. Multiple Linear Regression to analyze factors that affect the competitiveness of North Sumatra tea in the Malaysian Market. The results showed that North Sumatra has strong comparative but weak competitive competitiveness in the Malaysian Market. The factors that affect the competitiveness of North Sumatra tea are the volume of North Sumatra tea exports, which has a positive and insignificant effect; the domestic price of North Sumatra tea, which has a significant negative effect;. The export price of North Sumatra tea and the export price of Kenyan tea have a negative and insignificant effect on the competitiveness of North Sumatra tea to the Malaysian Market. Please state explicitly specific suggestions for further research
Disparities in Consumer Preferences for Procuring Vegetables Between Traditional and Modern Markets
No full textConsumer preferences for vegetables reflect the decision to buy them in traditional vs contemporary marketplaces, impacted by several circumstances. This article analyzes the impact of pricing, product quality, product completeness, facilities, and services on vegetable purchasing in modern and traditional marketplaces, utilizing the Structural Equation Modeling (SEM) approach within the Smart-PLS 4.0 program. The research utilized primary data collected from 96 participants across six modern and traditional marketplaces in Medan City. The findings of this study reveal disparities in the factors influencing traditional and modern marketplaces. In conventional marketplaces, price, product variety, and service substantially influence customer preferences for vegetables, although product quality and amenities do not significantly impact these choices. In contemporary marketplaces, product quality, facilities, and services substantially influence customer preferences for purchasing vegetables, although price and product completeness have no major impact on these choices. Affordability, product comprehensiveness, and service quality are essential considerations for consumers shopping in traditional marketplaces. This component must be sustained to be competitive in contemporary markets. Moreover, amenities are a crucial issue to consider for the coexistence of traditional markets alongside modern marketplaces.
Do Consumers Have the Willingness to Try Microalgae as an Alternative Protein Source?
No full textThe increasing consumption needs of society have led to a rise in food demand, which continues to grow along with the population increase. Every year, the government implements various efforts to meet these growing consumption demands. Using alternative food sources can meet the public's dietary needs. One such alternative is microalgae, which is considered a promising food source. However, it is still relatively unfamiliar to the public, necessitating strategies to raise awareness about this ingredient. Several factors can influence customer attitudes, making them more open to trying new things, thereby positively affecting consumer willingness to try microalgae as an alternative food source. This study aims to investigate the influence of environmental concerns, health interests, food neophobia, and knowledge on consumer attitudes toward trying microalgae as a preferred alternative protein source. It also examines whether consumer attitudes influence willingness to try microalgae moderated by self-efficacy. The research employed a quantitative approach, with a sample size of 400 respondents determined using multistage sampling. Primary data were collected through a closed questionnaire. Data analysis was conducted using descriptive statistical analysis and SEM-PLS (Structural Equation Modeling-Partial Least Square) with the WarpPLS 8.0 software. The results indicate that environmental concern, health interest, and knowledge have positive and significant effects on consumer attitudes, while neophobia has a negative and insignificant effect. Furthermore, consumer attitudes influenced willingness to try, with self-efficacy strengthening the relationship between attitudes and willingness to try microalgae as a preferred alternative protein source
Growth Response of Aromatic Grasses to Soil Salinity Stress
Full text linkThis research aims to determine the growth response of vetiver, lemongrass and citronella plants in terms most resistant to soil salinity stress levels. The study was carried out at the screen house of the Faculty of Agriculture, Santo Thomas Catholic University, Medan, which is 32 meters above sea level. This research was carried out in January to March 2024. The study used a factorial, Completely Randomized Design, which consisted of two factors. The first factor is the influence of several aromatic grasses (R), which consist of 3 types: lemongrass, citronella, and vetiver. The second factor is the salinity soil stress (S) level, which consists of five levels: without saline, 25% saline soil, 50% saline soil, 75% saline soil saline, and 100% saline soil. Based on these treatment combinations, there were 15 combinations, and each treatment was repeated 3 times so that 45 plants/pots measured 5L. Parameter observations were carried out during harvesting; the parameters observed were shoot fresh weight, shoot dry weight, root fresh weight, root volume, and root cross-section anatomy. The results of the study can be stated that the factor of several aromatic grasses has a significant effect on shoot fresh weight, shoot dry weight, roots fresh weight, and roots volume, where the best aromatic grasses is vetiver even though it was not significantly different from citronella which is resistant to growth at salinity stress levels of 50% to 100%. The salinity level also has a significant effect where salinity starting from 25% causes a decrease in the fresh weight and dry weight of the shoot of the three aromatic grasses.