13 research outputs found
Diagram Kendali Fuzzy Multivariate Exponentially Weighted Moving Average (FMEWMA) dengan α-Level Cut
No full textDiagram kendali Xbar-R kurang sensitif dalam mendeteksi pergeseran rata-rata yang kecil dan tidak robust terhadap distribusi non-normal. Diagram kendali EWMA dikembangkan untuk mengatasi masalah tersebut. Diagram kendali multivariat memiliki performa lebih baik dibandingkan diagram kendali univariat pada proses yang memiliki lebih dari satu variabel dan antar variabel cenderung memiliki korelasi. Diagram kendali Multivariate EWMA (MEWMA) sensitif untuk mendeteksi pergeseran rata-rata yang kecil serta lebih robust terhadap distribusi non-normal. Ketika pengukuran dipengaruhi oleh penilaian manusia, hasil keputusan menjadi subyektif dan samar. Hal ini dapat ditangani dengan diagram kendali fuzzy. α-level cut dikembangkan untuk mengatur keketatan diagram kendali fuzzy. Pengembangan diagram kendali fuzzy dengan α-level cut belum dilakukan pada diagram kendali fuzzy MEWMA (FMEWMA). Keketatan diagram kendali FMEWMA dapat diatur dengan α-level cut, sehingga diagram kendali ini akan lebih sensitif dengan α-level cut. Penelitian ini mengembangkan diagram kendali FMEWMA dengan α-level cut. Pengembangan dilakukan pada statistik pengontrolan, simulasi UCL, evaluasi performa dengan pendekatan ARL dan pengaplikasian diagram kendali pada industri konveksi. Hasil penelitian menunjukkan bahwa nilai UCL untuk α_cut= 0,5 bernilai besar pada λ=0,01 dan semakin mengecil pada λ=0,25. Sementara untuk α_cut = 0,9 dengan korelasi 0,5 dan 0,8 bernilai kecil pada λ=0,01 dan semakin membesar pada λ=0,25, sedangkan pada korelasi 0,2 nilai terbesar terdapat pada λ=0,01 dan nilai terkecil terdapat pada λ=0,05. Evaluasi kinerja untuk α_cut sebesar 0,5 menunjukkan semakin kecil nilai λ maka semakin baik performa diagram kendali fuzzy MEWMA α-level cut, namun performa akan sedikit menurun pada λ=0,01. Sementara untuk α_cut sebesar 0,9 menunjukkan semakin kecil nilai λ maka semakin baik performa dari diagram kendali fuzzy MEWMA α-level cut untuk mengontrol kualitas dalam pergeseran kecil. Diagram kendali fuzzy MEWMA α-level cut dengan α_cut sebesar 0,9 dapat dengan baik mendeteksi keadaan diluar kendali pada data simulasi dan kualitas ukuran baju seragam di CV Harapantext Jaya Palu. Perbandingan diagram kendali fuzzy MEWMA α-level cut, fuzzy MEWMA dan MEWMA konvensional menunjukkan fuzzy MEWMA α-level cut mampu dengan baik mendeteksi pengamatan yang tidak terkendali pada data dalam keadaan samar.
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The Xbar-R control chart is less sensitive in detecting small shifts and is not robust to non-normal distributions. The EWMA control chart was developed to solve this problem. Multivariate control charts have better performance than univariate control charts in processes that have more than one variable, and between variables there tends to be a correlation. The multivariate EWMA (MEWMA) control chart is sensitive to detecting small average shifts and is stronger against non-normal distributions. Decision outcomes are subjective and ambiguous when measurements are influenced by human judgment. This can be handled with fuzzy control charts. The α-level cut was created in order to fine-tune the tightness of fuzzy control charts. The development of the fuzzy control chart with an α-level cut has not yet been carried out on the fuzzy MEWMA control chart (FMEWMA). The tightness of the FMEWMA control chart can be adjusted with an α-level cut, so that with an α-level cut, this control chart will be more sensitive. This study creates a FMEWMA control chart with an α-level cut. Development is carried out on a statistics, UCL simulations, performance evaluation with the ARL approach, and the application of control charts to industrial convection. The results showed that the UCL value at α_cut = 0.5 was large at λ = 0.01 and decreased at λ = 0.25. While for α_cut= 0.9 with a correlation of 0.5 and 0.8, it has a small value at λ = 0.01 and gets bigger at λ = 0.25, while at a correlation of 0.2, the largest value is found at λ = 0.01 and the smallest value is found at λ = 0.05. The performance evaluation for α_cut of 0.5 shows that the lower the value of λ, the better the performance of the fuzzy MEWMA α-level cut control chart, but at λ = 0.01 the performance will slightly decrease. α_cut of 0.9 indicates that the lower the value of λ, the better the performance of the fuzzy MEWMA α-level cut control chart for controlling quality in small changes. The fuzzy MEWMA α-level cut control chart with an α_cut of 0.9 can detect out-of-control conditions on the quality of simulation data and uniform dress sizes at CV Harapantext Jaya Palu. The comparison of FMEWMA α-level cut control chart, fuzzy MEWMA, and conventional MEWMA shows that the fuzzy MEWMA α-level cut can detect uncontrolled observations in fuzzy data
UPAYA PENCEGAHAN KERUSAKAN MUATAN SEMEN CURAH DI MV. CRYSTAL JADE
No full textFaris Fathan Mutakhawali, 51145211N, 2018, “Prevention to Cement Bulk Cargo Damage at MV. Crystal Jade”, Diploma IV, Nautical, Semarang Merchant Marine Polytechnic, Supervisor: (I) Capt. Agus Hadi Purwantomo (II) Edy Warsopurnomo MM, M.Mar.E.
Bulk cement cargo damage often occurs as a result of prevention efforts are less than the maximum, as well as knowledge about loading cement crew is still lacking. The author of this study is based on bulk cement cargo damage that occurred when the author carried out the sea practice, that is MV. Crystal Jade on April 1, 2017 in Hong Kong. In this study the authors found factors that caused damage to bulk cement content and prevention efforts.
The research method used by the author is a qualitative method with data analysis techniques Fault Tree Analysis and Fishbone Analysis. Based on the data obtained during the study as supporting the composition of this thesis writing is to use primary and secondary data. As well as data collection methods, there are observation, interviews, documentation studies and literature studies.
Based on research conducted by the authors, it was found that the cause of bulk cement cargo damage was in the MV. Crystal Jade is a sudden change in weather conditions, crew knowledge is still lacking in handling bulk cement cargo, and the amount of equipment that is not adequate. From the results of these studies, it can be concluded that the anticipation of damage to bulk cement needs to be done earlier and more prepared to avoid the risks of damage to cement. And to increase crew's knowledge about loading bulk cement, the company needs to educate in the form of direction to the ship's crew.
Keywords: Prevention effort, Cement Bulk, Damage Carg
TRANSFORMATION OF ECONOMIC THEOLOGY FOR COMMUNITY EMPOWERMENT: A Case Study on Pesantren-Based Bank Wakaf Mikro
No full textThis article studies the transformation of economic theology indicated by the present of financial service access provided by the government to the lower-class society, particularly those living around pesantren. They so far find difficulty in accessing financial service as they are faced with the requirement of collateral and high interest rate. Responding to such condition, Indonesian government develops micro-sharia financial institution called pesantren-based Bank Wakaf Mikro (BWM). This institution has developed and reached many lower-class people with affordable loan scheme in the last five years. Uniquely, this institution not only provides financial loan but also contains theological and Islamic economic education dimensions through weekly halaqah (study circle) activity. This halaqah becomes a place where the customers of BWM attend pengajian (communal Quran study) held by BWM and perform dhikr (remembering Allah by saying laa ilaha illaallah). Through observation and interview, the author studied the vision of pesantren-based BWM founder, strategy and activities conducted and economic theological transformation in the frame of lower-class community empowerment. This research contributes to encouraging the solidarity-based economic activities in the context of Islamic economic theology
Perbandingan Ukuran Jarak pada Analisis Kluster Hirarki
No full textAnalisis klaster merupakan salah satu metode statistik untuk mengelompokkan objek berdasarkan kemiripan. Pada data kategorik, pemilihan ukuran jarak menjadi aspek penting karena memengaruhi struktur dan interpretasi klaster yang terbentuk. Penelitian ini bertujuan untuk membandingkan performa enam ukuran jarak Gower, Goodall1, Goodall2, Goodall3, Goodall4, dan Anderberg dalam analisis klaster hierarki menggunakan data kategorik dari Indonesian Family Life Survey (IFLS-5). Metode yang digunakan adalah hierarchical agglomerative clustering, dengan tahap awal pembersihan data dan konversi ke tipe faktor agar sesuai dengan karakteristik pengukuran jarak kategorik. Evaluasi hasil klaster dilakukan dengan dua indeks validasi internal, yaitu Silhouette dan Dunn, serta metrik eksternal Adjusted Rand Index (ARI) untuk menilai stabilitas klaster melalui proses bootstrapping. Ketiga metrik tersebut digunakan secara komplementer: Silhouette mengevaluasi konsistensi lokal anggota klaster (dengan nilai ? 0.5 umumnya dianggap baik), Dunn mengukur pemisahan antar-klaster secara global (semakin tinggi semakin baik), sementara ARI menunjukkan konsistensi struktur klaster terhadap variasi data (nilai mendekati 1 menunjukkan stabilitas tinggi). Hasil menunjukkan bahwa setiap ukuran jarak menghasilkan struktur klaster yang berbeda. Di antara semua ukuran yang diuji, Goodall4 memberikan hasil terbaik karena membentuk klaster yang mudah diinterpretasikan, memiliki nilai indeks Silhouette dan Dunn yang relatif tinggi, serta skor ARI mendekati sempurna. Hal ini mengindikasikan bahwa Goodall4 merupakan alternatif yang layak direkomendasikan dalam kasus serupa
Fuzzy Mewma Control Chart with Median Transformation for Manufacturing Multivariate Process Control
No full textThe Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is developed with the advantage of detecting small shifts in the mean vector and is robust. Conventional control charts have limitations in handling ambiguity in a process. The fuzzy MEWMA control chart is proposed to detect small shifts under uncertain conditions. When the fuzzy data distribution is asymmetric, the median transformation method is used. Quality control is crucial for the convection industry. Clothing designs tailored to human body proportions indicate that ambiguity in the process and small measurement shifts can affect measurement accuracy. This study will utilize the Fuzzy MEWMA control chart with median transformation for quality control in the multivariate manufacturing process, particularly in the convection industry. The purpose of this study is to determine the UCL value, obtain performance evaluation results and implement the Fuzzy MEWMA control chart with median transformation. The research findings show that the UCL with an alpha level cut of 0.6 for three quality characteristics increases as the lambda value decreases. Performance evaluation results indicate that when small process shifts occur, lambda 0.05 and lambda 0.1 provide better performance than other lambda values. The production control results for uniform manufacturing in a convection company in Palu City show two observations outside the UCL, which can serve as an early warning for the company
Stock Price Forecasting Using Autoregressive With Exogenous Variable Support Vector Regression (ARX – SVR)
No full textStock prices move fluctuate continuously and dynamically at all times, so stock price predictions are needed to maximize profits for investors and avoid losses due to the characteristic of stock prices. Autoregressive (AR) model is a forecasting method and has weaknesses against nonlinear patterns. In addition to using linear modeling, forecasting stock prices can use the Support Vector Regression model which offers a global optimal solution that works with data maps to high-dimensional spaces and has good performance with time series problems. The addition of exogenous variables X to the model can also improve forecasting accuracy. Forecasting will be done using significant lags as input to Support Vector Regression. The modeling results show that the ARX-SVR model with X as an outlier exogenous variables provides the best out-of-sample data forecasting results for the case study of stock closing price forecasting. This model provides forecasting results with Symmetric Mean Absolute Percentage Error (sMAPE) 5.382430%
طريقة المباشرة في تدريس اللغة العربية في معهد دار السلام كونتور
No full textArabic Language is a tool to understand the Qur\u27an and Hadith. This is one of the reasons that pushes Muslims to learn Arabic. Many Islamic schools are paying attention to the teaching of the Arabic language which starts from elementary school to university level. Pondok Modern Darussalam Gontor is one of the educational institutions in Indonesia that pays attention to the teaching of Arabic, therefore Gontor is known as the oldest educational institution in teaching the Arabic language since it was established in 1926. As it says in the name, Pondok Modern Darussalam Gontor is a modern Islamic educational institution, because in terms of Arabic teaching, they have been using direct method. Direct method is a method that corresponds to the nature of the language, i.e. listening to and then speaking in the language. This method relies on the student development with many exercises in listening, simulation, and communication so as to pronounce in Arabic automatically. This method shows its success in teaching Arabic in Pondok Modern Darussalam Gontor. Therefore the author wants to discuss these questions; 1) What is meant by direct method? 2) What is the effect of the direct method in Arabic teaching? 3) How is the application of direct method in teaching Arabic in Pondok Modern Darussalam Gontor
PENGARUH CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN DI SAUNG PANYAWAH MAMAH KEMBANG CIANJUR
No full textThis study aims to determine how much influence brand image has on purchasing decisions at Saung Panyawah Mamah Kembang Cianjur. The increasing number of competitors that appear can arouse the enthusiasm of business people to further enhance their brand. The independent variables are brand image and the dependent variable is the purchase decision. The research method used is the quantitative method, with a sample of 100 respondents. The sampling technique used in this research is purposive sampling. The data analysis method used in this research is the descriptive analysis method and simple linear regression analysis. Data processing was carried out using SPSS 26 software. The regression model Y = 10.381 + 0.873 X is feasible to use. Through the R test Brand image has a strong relationship with purchasing decisions. The effect of brand image on purchasing decisions is 51.2% and the remaining 48.2% is influenced by other factors not by the author. Every increase of one brand image scale will increase the purchase decision by 1.657. Partially seen from the t-test, brand image partially obtained a significance value of 0.000 ttable 1,966 meaning that part there is a significant and positive influence between brand image and purchasing decisions at Saung Panyawah Mamah Kembang
STRATEGI KEHUMASAN PESANTREN DALAM MEMBANGUN BRAND IMAGE MELALUI MEDIA SOSIAL: studi kasus pada Mahad Syaraful Haramain Bogor
No full textABSTRAK
Di era masyarakat modern, sosial media atau jejaring sosial secara drastis telah memengaruhi hampir semua sektor kehidupan termasuk pendidikan. Salah satu lembaga pendidikan alternatif di masyarakat adalah Pesantren sebagai salah satu lembaga pendidikan tertua di Indonesia. Namun, nyatanya masih banyak pesantren yang tidak bisa adaptif dalam memanfaatkan sosial media untuk membangun citra mereka. Penelitian ini bertujuan untuk mencari strategi kehumasan pesantren dalam membangun brand image di media sosial. Guna menunjang penelitian ini, penulis menggunakan pendekatan penelitian kualitatif dan metode studi kasus. Data dikumpulkan dengan melakukan wawancara semi terstruktur terhadap salah satu pesantren di wilayah Bogor sebagai objek penelitian yang relevan. Hasil penelitian menunjukkan bahwa penentuan platform dan bentuk konten menjadi aspek penting dalam membangun brand image pesantren. Hasil penelitian ini juga mengungkapkan model strategi komunikasi dalam membangun citra pesantren dan juga evaluasi strategi kehumasan yang dilakukan oleh pesantren. Melalui strategi ini, diharapkan dapat menjadi bahan diskusi, terkhusus bagi pesantren yang masih kesulitan beradaptasi dengan media sosial untuk membangun citra mereka.
In the era of modern society, social media have drastically influenced almost all sectors of our life, including education. One of the alternative educational institution in our society is Pesantren as one of the oldest educational institution in indonesia. However, in fact there are still many Pesantren that cannot be adaptive in utilizing social media to build their brand image. This research aims to find Pesantren public relation strategies in building brand image on social media. To support this research, the author used a qualitative research approach and case study method. Data was collected by conducting semi-structured interviews with one of the Pesantren in Bogor as a relevant research object. The research results show that determining the platform and form of content is an important aspect in building Pesantren brand image. The result of this research also reveal a communication strategy model in building the image of Pesantren and also evaluate the public relations strategies carried out by Pesantren. Through this strategy, it is hiped that it can become material for discussion, especially for Pesantren which still have difficluty adapting to social media to build their brand image
UI UX Design of Waste Sorting Website-Based Application Applying the Design Sprint Method Case Study Palmerah West Jakarta
No full textPublic awareness that is increasingly paying attention to environmental problems requires public awareness to manage waste in a more efficient way. Due to the lack of understanding and appropriate methods for sorting waste, solutions different from conventional methods must be sought. Technology has become an important part of innovation in management. User Interface (UI) and User Experience (UX) are increasingly considered important in meeting user needs due to new interaction patterns with technology. The aim of this research is to understand and meet user needs in waste sorting. Therefore, the author has found a solution by creating a UI/UX design for an interactive waste sorting application. This study was conducted using the design sprint method which consists of five steps: understand, differentiate, decide, create a prototype, and verify. The results of tests carried out using the system usability scale method produced a score of 75, which shows that this application makes it easier for users to sort waste more efficiently and environmentally friendly
