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Ekonomi Lokal dan Pembangunan Pedesaan di Dusun Berambai, Kalimantan Timur: The Local Economy and Rural Development in Berambai Hamlet, East Kalimantan Arman Arman; Asep Saefuddin
Society Vol 8 No 2 (2020): Society
Publisher : Laboratorium Rekayasa Sosial, Jurusan Sosiologi, FISIP Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/society.v8i2.202

Abstract

The role of the local economy gets eroded due to the inclusion of capitalization in rural areas. This research examines the coal mining industry's influence on the local economy's existence in Berambai Hamlet, Bukit Pariaman Village, Tenggarong Seberang Sub-district, Kutai Kartanegara Regency, East Kalimantan Province, Indonesia. This research uses qualitative research methods; meanwhile, data collection methods use field observation and in-depth interviews. Interviews were conducted in stages through a snowball sampling to strengthen the observations' results. The results show that the local economy and livelihood in Berambai Hamlet are under pressure and eroded due to coal mining activities. Livelihood products shrank drastically, especially fish and rice, due to mining waste polluting rivers and agricultural land conversion to mining areas. Furthermore, other sources of income from farmworkers are not enough to fulfill the needs. The government needs to protect their livelihoods as a driving force for the local economy by integrating nature-based life. The government needs to develop local economic potentials, such as tourism areas, crafts, and artworks. The government also needs to strengthen village institutions. It must be carried out together with mining companies seriously. Furthermore, the government needs to maintain the unity of rural spatial and spatial planning.
Epidemiologi Hawar Daun Bibit Pinus Merkusii yang Disebabkan oleh Pestalotia theae Sutarman; Hadi, Soetrisno; Saefuddin, Asep; Achmad; Suryani, Ani
Jurnal Manajemen Hutan Tropika Vol. 10 No. 1 (2004)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (183.474 KB)

Abstract

The objectives of the study are as follows: to know the interrelationships between the weather components as well as Pestalotia theae's aerial conidiospore population and the development of needle blight on Pinus merkusii seedlings, and to determine the effect of nursery site on the early development of the disease. Two week's average without interval model is the most reliable model to be used for determining the interrelationship between the development of the disease severity and the weather components. Light duration, rain fall, relative humidity and temperature are the weather components significantly affect the increase of the disease severity. The nursery in Pongpoklandak, Cianjur (26,5 - 30,5 oC; RH: 92-98 %), West Java, is the most optimal location for the development of the disease. To maintain the Disease Index at the most about 25 on seedlings over 6 months old, is the key factor for the successful management of needle blight on P. merkusii seedlings in the nursery.
Optimalisasi Pemanfaatan Lahan Kehutanan dalam Rangka Peningkatan Kualitas Lingkungan dan Kesejahteraan Sosial Ekonomi Masyarakat Desa Sekitar Hutan: Studi Kasus di Kabupaten Sumedang Rajati, Tati; Kusmana, Cecep; Darusman, Dudung; Saefuddin, Asep
Jurnal Manajemen Hutan Tropika Vol. 12 No. 1 (2006)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.925 KB)

Abstract

To reserve forest land and improve people's income, Perum Perhutani Sumedang regency, together with the people surrounding the forest, makes a program to utilize the forest by using an agroforestry system. For that reason, the researcher is interested in doing research about the type of crops that can optimize forest land. The objective of the research is to analyze the utilization of forest land optimally and improve the social welfare of the people surrounding the forest in Cipadayungan, Sumedang. The result of the research indicates that the degree of erosion in the research field at the slopes of (0-<15)% and (15-<30)% is still under tolerated erosion, but the slope of .30% is beyond tolerated erosion. Types of crops that can be used to utilize the land without clearing grass growing on the forest floor are vanilla and coffee. Those plants are productive crops, while grass can protect the land against erosion.
Analyzing multilevel model of educational data: Teachers’ ability effect on students’ mathematical learning motivation Eminita, Viarti; Saefuddin, Asep; Sadik, Kusman; Syafitri, Utami Dyah
Journal on Mathematics Education Vol. 15 No. 2 (2024): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jme.v15i2.pp431-450

Abstract

Motivation to learn mathematics decreased due to the inability of teachers to implement innovative learning models and techniques. Therefore, this study aimed to investigate the effects of teachers' ability on students' motivation to learn mathematics by using quantitative methods and survey approaches. There were 32 mathematics teachers and 542 students in the 24 schools within the Depok region, selected as respondents through a stratified random sampling method. The research instruments of two questionnaires of teachers’ competence and students’ learning motivation were distributed to the respondents. Data analysis was conducted to test the random effect of teachers’ ability on students’ motivation to learn mathematics by using the effect of teachers’ random intercepts and competence as models 1 and 2, respectively. These two models were analyzed using the n-level Structural Equation Model (nSEM), and the result showed that model 2 was the best one to investigate the random effect of teachers’ ability and students’ learning motivation. The data analysis showed that the variance among teachers’ ability (0,0027) was less than learning motivation among students (0.0597). These findings indicated that the motivation levels of students taught by the same teacher varied significantly, whereas the effects of the teachers were relatively homogeneous. In other words, teachers’ ability was somewhat the same in increasing students’ learning motivation. Based on these findings, this research work suggests teachers keep improving their teaching techniques. Hence, students will be well motivated to learn so that the learning objectives will be well achieved.
LR-GLASSO Method for Solving Multiple Explanatory Variables of the Village Development Index Yunus, M.; Soleh, Agus M; Saefuddin, Asep; Erfiani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 2 (2024): April 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i2.5656

Abstract

Sustainable Development Goals (SDGs) are developments that maintain sustainable improvement in society’s economic, social, and environmental welfare. Kemendes PDTT RI has issued the Village Development Index (VDI) to provide information and the status of village progress to support village development to improve the National SDGS. Modeling with multiple explanatory variables causes a high correlation between explanatory variables, multicollinearity, and coefficient estimation results, which have a large variance and overfitting in the prediction results. The modeling solution uses LASSO and GLASSO. The binary categorical response data use binary logistic regression (LR), so LR-LASSO and LR-GLASSO are used. North Maluku Province has a VDI ranking that tends to fall in 2018-2022. On the basis of the mean and variance of the coefficient estimation results and misclassification errors, LR-GLASSO is better than LR-LASSO and LR. LR-GLASSO is recommended for analyzing VDI data because it has many explanatory variables and the correlation between them is relatively high. The Indonesian government recommendation, if it is to increase the status of VDI in Indonesia, especially in the north Maluku province, is to increase the number of electricity users, food and beverage stores, and other cooperatives. The Indonesian government also needs to pay attention to villages relatively far from the regent's office, between food and beverage stalls, and supporting health centers, because they still need to be developed compared to other villages, and more than 50% of the villages are underdeveloped. If the Village SDGs are formulated by increasing the VDI status, it will support the achievement of the SDGs goals nationally.
Comparison of Ordinary Kriging and Cokriging for Spatial Estimation Based on Simulated Data Mutiah, Siti; Aldi, Muhammad Nur; Saefuddin, Asep; Ernawati, Fitrah
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.33409

Abstract

This study compares the performance of Ordinary Kriging (OK) and Cokriging (CK) methods in spatial estimation based on simulated data. Twelve scenarios are arranged based on a combination of sample size (50, 250, 500) and correlation levels between variables (ρ=0.1, 0.6, 0.9), with each scenario repeated 30 times. Spatial data are generated randomly within the geographical boundaries of Indonesia, variables are generated based on spherical variograms with nugget or sill or  dan range or ,, and model evaluation is carried out using Leave-One-Out Cross Validation (LOOCV) with RMSE and  metrics. The results show that Cokriging consistently produces more accurate estimates than Ordinary Kriging in all scenarios. In the best configuration (CK, n=500), RMSE = 1.04 and  = 0.945 were obtained, while the best performance of OK only reached RMSE = 1.06 and  = 0.873. All levels of correlation in Cokriging showed good performance, especially when the amount of data is sufficient. Therefore, Cokriging is recommended as a superior spatial interpolation method in the context of multivariate and spatial data, especially when relevant secondary information is available.
Ketahanan Ekonomi Nasional Masa dan Pasca Covid-19 Melalui Penguatan UMKM Indonesia: (National Economic Resilience During and Post-Covid-19 Through Strengthening Indonesian MSMEs) Arman Arman; Ni Nyoman Sawitri; Asep Saefuddin
e-Journal Ekonomi Bisnis dan Akuntansi Vol. 10 No. 2 (2023): e-JEBA Volume 10 Number 2 Year 2023
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ejeba.v10i2.43344

Abstract

The Coronavirus disease-19 (Covid-19) crisis has an impact on the economic performance of Micro, Small and Medium Enterprises (MSMEs) at local and national levels. MSME actors are trying to survive the crisis through business efficiency and the national economic rescue program (PEN). This paper aims to (1) examine the resilience of MSMEs against a wave of crisis (2) the right policy formula to strengthen the competitiveness of MSMEs. This research uses descriptive qualitative method using secondary data. The data is sourced from the Ministry of Small and Medium Enterprises Cooperatives, Bank Indonesia (BI), the Central Statistics Agency (BPS), the National Planning and Development Agency (Bappenas), national and international scientific journals and media sources. Slowly, the condition of MSMEs began to rise from the Covid-19 crisis through the PEN program policy which ran in September-December 2020, economic growth was better in the fourth quarter of 2020 by -2.19 percent (yoy), better than the growth in the third quarter 2020 by -3.49 percent (yoy). The distribution of the PEN program for MSMEs was successful and effective in maintaining the resilience of MSMEs from the Covid-19 crisis. The government needs to maintain economic momentum, through the synergy of MSMEs with State-Owned Enterprises (BUMN), digitalization and the MSME global supply chain as well as increasing the PEN budget for MSMEs. On the other hand, the government still has a tough task to cut logistics costs which are still relatively high when compared to several ASEAN countries.
ANALISIS SISTEM INFORMASI STMIK IKMI CIREBON MENGGUNAKAN WEBQUALITY (WEBQUAL) Saefuddin, Asep; Suprapti, Tati; Wijaya, Yudhistira Arie
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i1.2502

Abstract

This study focuses on the quality of STMIK IKMI Cirebon's website, which serves as an information system for the campus. The website provides information on various aspects of the school and can significantly impact user satisfaction. The study aims to measure the website's quality based on user perceptions using Webqual, a technique that measures usability, information, and interaction quality. The results can help improve the information system of the website and provide data on its quality. The study highlights the importance of website quality and user satisfaction, and the usefulness of Webqual as a tool for measuring website quality and improving user experience. By prioritizing website quality and user satisfaction, organizations can create more effective and efficient information systems that meet users' needs
Peran Ombudsman sebagai Moderator Kelembagaan Pemberdaya Modal Sosial Masyarakat ., Suhartono; Hubeis, Musa; Saefuddin, Asep; Affandi, Joko
Jurnal Aplikasi Manajemen Vol. 13 No. 1 (2015)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Ombudsman surveillance with additional unique role as of dispute handler, when it proceeds with isomorphism process within the school institutionalism, they will potentially raise positive relationships between schools and parents, and also the community at large. Based on new institutionalism literatures and organizational and sociological theorie,sthis study argues that several behavioral phenomenon imperically exist at every isomorphism process, i.e: initiation for diffusion, adoption of diffusion, partnership for adaptive governance, legitimacy endorsement, and being sustainability committed. This study aims to assess changes of those schools behavioral phenomenon, following the standardized socializations held by the Ombudsman of the Republik Indonesia (ORI). A survey was administratedto teachers and parents at 13 public elementary schools in five districs within Jakarta Metropolitan Area. Factor analysis, t-tests, ANOVAs and MRA were used. It revealed that ORI initiatives can somewhat subdue school bureaucracies, unfortunately it was also limitedly able to empower schools behavioral adoption and commitments. These findings imply thatORI initiatives can limitedly empowering schools in sustaining social capital, with specific handicaps hampering at every phase of isomorphism. What makes ORI initiatives less effective are being dicussed by exploring qualitative information emanated from in-depth interviews.
A COMPARISON OF COX PROPORTIONAL HAZARD AND RANDOM SURVIVAL FOREST MODELS IN PREDICTING CHURN OF THE TELECOMMUNICATION INDUSTRY CUSTOMER Nurhaliza, Sitti; Sadik, Kusman; Saefuddin, Asep
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.623 KB) | DOI: 10.30598/barekengvol16iss4pp1433-1440

Abstract

The Cox Proportional hazard model is a popular method to analyze right-censored survival data. This method is efficient to use if the proportional hazard assumption is fulfilled. This method does not provide an accurate conclusion if these assumptions are not fulfilled. The new innovative method with a non-parametric approach is now developing to predict the time until an event occurs based on machine learning techniques that can solve the limitation of CPH. The method is Random Survival Forest, which analyzes right-censored survival data without regard to any assumptions. This paper aims to compare the predictive quality of the two methods using the C-index value in predicting right-censored survival data on churn data of the telecommunication industry customers with 2P packages consisting of Internet and TV, which are taken from all customer databases in the Jabodetabek area. The results show that the median value of the C-index of the RSF model is 0.769, greater than the median C-index value of the CPH model of 0.689. So the prediction quality of the RSF model is better than the CPH model in predicting the churn of the telecommunications industry customer.
Co-Authors . Marzuki . Sutriyati Achmad ACHMAD . Achmad Ramzy Tadjoedin adwendi, satria june Agus M Soleh Agus Mohamad Soleh Agustifa Zea Tazliqoh Ahmad A. Mattjik Ahmad Ansori Mattjik Aji H. Wigena Aji Hamim Wigena Aldi, Muhammad Nur Alif Supandi Alifviansyah, Kevin Alinda F. M. Zain Alkahfi, Cahya Ananda Shafira Ananda, Frisca Rizki Anang Kurnia Andres Purmalino Ani Suryani Anik Djuraidah Arief Daryanto Arista Marlince Tamonob Arman Arman Arman Arman Arman Arman Arman Arman Arnita Arnita Azagi, Ilham Alifa Bagus Sartono Bambang Indriyanto Basita Ginting Budhi Purwandaya, Budhi Budi Marwoto Budi Susetyo Bunasor Sanim Cece Sumantri Chalid Talib Citra Jaya Daowen Zhang Dede Dirgahayu Domiri Dede Dirgahayu Domiri, Dede Dirgahayu Dewi Juliah Ratnaningsih Diah Krisnatuti Dian Handayani Dian Kusumaningrum Dian Kusumaningrum, Doni Suhartono Dudung Darusman Eka Intan Kumala Putri Embay Rohaeti Eminita, Viarti Enny Kristiani Enny Kristiani Erfiani Erfiani Erfiani Eri Purnomohadi Etih Sudarnika Etty Riani Euis Sunarti Eva Z Yusuf Fatah Sulaiman Fitrah Ernawati Frisca Rizki Ananda Fulazzaky, Tahira H. R. Eddie Gurnadi HAJRIAL ASWIDINNOOR Hanny Nurlatifah Harapin Hafid H. Hardiansyah . Hardinsyah Hari Wijayanto Hartoyo, harry Hasnataeni, Yunia Hendra Prasetya Hengki Muradi Heny Suwarsinah Hermanto Siregar Hidayat Syarief Hilman Dwi Anggana Husaini . I Made Sumertajaya I Wayan Mangku Ida Mariati Hutabarat Indahwati Itasia Dina Sulvianti Jajang Jajang Jodi Vanden Eng Joko Affandi Joko Affandi Joko Sutrisno JOKO SUTRISNO Khairil Anwar Notodiputro Kristiani, Enny Kusman Sadik Lia Budimulyati Salman Lia Ratih Kusuma Dewi Lilik Noor Yuliati Lismayani Usman Lukmanul Hakim Lukmanul Hakim M. Yunus M. Yunus Maghfiroh, Firda Aulia Mangara Tambunan Margono Slamet Marimin , Marimin Marimin Marizsa Herlina Marliati . Marliati Marliati Mirnawati Sudarwanto Muggy David Cristian Ginzel Muhammad Nur Aidi Muradi, Hengki Musa Hubeis mutiah, siti Ni Nyoman Sawitri Nimmi Zulbainarni Ningsih, Wiwik Andriyani Lestari Ninuk Purnaningsih Nirawita Untari Nunung Nuryartono Nuramaliyah, Nuramaliyah Nurlatifah, Hanny Nurul Hidayati Nusar Hajarisman Pang S. Asngari Pien Budiyanto Prabowo Tjitropranoto Pradina, Fathia Anggriani Priyadi Kardono Purnomohadi, Eri R. Ruswandi Rahardiantoro, Septian Rahmadi Sunoko Rahmadi Sunoko Ratna Megawangi Rimun Wibowo Ristu Haiban Hirzi, Ristu Rita Kusriastuti Rizal Syarief Rizal Syarief Rizka Rahmaida Ronny Rachman Noor Rudy Priyanto S. Damanhur, Didin Santun R.P. Sitorus SANTUN R.P. SITORUS Sarah Putri Sarsidi Sastrosumarjo Sausan Nisrina Setiadi Djohar Setiawan Setiawan Siti Sundari Sitti Nurhaliza Sjafri Mangkuprawira Sjafri Mangkuprawira Soedijanto Padmowihardjo Soekirman Soekirman Soetrisno Hadi Sony Sunaryo Sri Yusnita Burhan Suhartono . Suhartono . Sumardjo Sumarjo Gatot Irianto Sumartono Sumartono Sutarman Sutarman . Suwarsinah, Heny Syafri Mangkuprawira Syafri Mangkuprawira Syarifah Iis Aisyah TADJOEDIN, ACHMAD RAMZY Tagor Alamsyah Harahap Talib, Chalid Tati Rajati Tati Suprapti Tiyas Yulita triguna, gunadi Ujang Sumarwan Umi Cahyaningsih Upik Kesumawati Hadi Utami Dyah Syafitri Wahida Ainun Mumtaza William A. Hawley Wiwik Andriyani Lestari Ningsih Yani Nurhadryani Yekti Widyaningsih Yenni Angraini Yudhistira Arie Wijaya Yuni Ros Bangun Yusuf, Eva Z Zinggara hidayat