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All Journal Perfecting a Video Game with Game Metrics JEES (Journal of English Educators Society) BACA: Jurnal Dokumentasi dan Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JAS-PT Jurnal Analisis Sistem Pendidikan Tinggi ILKOM Jurnal Ilmiah Petir Indonesian Journal of Electrical Engineering and Computer Science Jurnal Kajian Ilmiah Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal of Applied Science and Sustainable Development (IJASSD)
Heru Sukoco
Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Online assessment strategies to enhance students’ competence and their implementational challenges Ida Ayu Made Sri Widiastuti; Ida Bagus Nyoman Mantra; Heru Sukoco; Made Hery Santosa
JEES (Journal of English Educators Society) Vol 6 No 2 (2021): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jees.v6i2.1378

Abstract

Carrying out effective learning and appropriate classroom assessment during the coronavirus pandemic could be highly challenging for the teachers to do. Teachers need to utilize various technological devices to assess students' learning competence. This is due to online learning has become a priority in learning activities in the pandemic situation. This study found that English teachers implemented three types of online assessment strategies to improve students' learning competence during the pandemic of Covid-19 in Indonesia. Those strategies are online test administration, portfolio, and self-assessment. Several challenges were accoutered by the teachers in carrying out the classroom assessment through online systems such as slow internet network, expensive internet quota prices, limited access to computer and smartphone devices, poor ability in using digital technology, difficulty in conducting effective interaction. Feedback was occasionally provided when the learning processes were conducted through zoom meeting or google meet. The study implies that teachers should improve their communication technology ability and fulfill online assessment strategies' administrative procedures. HIGHLIGTS: Most teachers explain that they encountered similar challenges which were mainly about slow internet connection, expensive internet quota prices, poor ability in technology, and difficulty in communicating effectively with their students. The challenges encountered by the teachers were similar in their forms but the degree of difficulty depended upon the geographical location, economical background, and experiences in using technology Another difficulty encountered by teachers is providing feedback on the students’ assessment results. Teachers found it difficult to communicate directly to students to explain students’ problems in learning.
PENGARUH MEDIA SOSIAL TERHADAP SITASI PUBLIKASI INTERNASIONAL KARYA ILMIAH INDONESIA BIDANG PERTANIAN DENGAN PENDEKATAN ALTMETRICS Cecep Ibrahim; Imas Sukaesih Sitanggang; Heru Sukoco
BACA: JURNAL DOKUMENTASI DAN INFORMASI Vol 40, No 1 (2019): Juni
Publisher : Pusat Data dan Dokumentasi Ilmiah – Lembaga Ilmu Pengetahuan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.baca.v40i1.456

Abstract

The purpose of this study was to measure the impact of Indonesia research especially in agriculture published in international Scopus journals using Altmetrics. This research method consisted of problem identification, data collection, data preprocessing, Altmetrics approach analysis, and final analysis. The data of this study were obtained from Scopus.com citation metadata by writing the Agriculture keyword and Indonesian affiliation that the limited year from 2015-2017. Altmetrics data is obtained from Altmetric.com; Altmetrics Explorer for Librarian by extracting DOIs from each publication of scientific work. Then the data is analyzed by the Altmetrics approach, namely Facebook Coverage and Mention Rate. This study performed an analysis based on Altmetrics data share to know the popularity Indonesian research in Scopus journal and analyzed the correlation between Citation data Indonesian research in Scopus journal and Altmetrics data share of Altmetric.com. This study analyzed the impact of 4484 Indonesia research articles published by Scopus journals in the field of agriculture through Altmetrics and compared it with bibliometrics. The result showed that Coverage and Mention Rate of social media only were below 30% which was not too significant in the content discussed, view & reader and mention on social media.
Penilaian Tata Kelola dan Manajemen Layanan Teknologi Informasi dengan Cobit 2019 dan ITIL 4 Erika Nachrowi; Yani Nurhadryani; Heru Sukoco
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 4 (2020): Agustus 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.035 KB) | DOI: 10.29207/resti.v4i4.2265

Abstract

The implementation of E-government evaluation is already a necessity to know the level of process of governance and management of service and provide improvement suggestions for quality improvement. Evaluation of the governance and management of services at the Directorate Institutional, Directorate General of Higher Education using the COBIT 2019, by measuring the capability process level based on the design factor which recommends improvement priorities in the 11 domain COBIT 2019 and the level of user satisfaction of service applications using the E-govqual model. IT capability level assessment results have 3 levels 0 processes or no existing approaches, 6 levels 1 processes or incomplete approaches, 1 level 2 process or initial approach fulfils the intent of the practice area and 1 Process level 3 or achievement of objectives is much more organized. Service Satisfaction rate measurement get 3 criteria in Quadrant A or priority improvement, 13 criteria in quadrant B or maintained, 12 criteria in quadrant C or less priority and 3 criteria in Quadrant D or less expected. Repair recommendations are compiled based on the SWOT model, referring to COBIT 2019 and ITIL 4. The results of the recommendation include increased competency of human resources and integrate services with PDDIKTI.
Sistem Kelayakan Borang Akreditasi Program Studi Menggunakan Fuzzy Inference System Yanto Hermawan; Irman Hermadi; Heru Sukoco
JAS-PT (Jurnal Analisis Sistem Pendidikan Tinggi Indonesia) Vol 4 No 1 (2020): JAS-PT Edisi JULI 2020
Publisher : Forum Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/jaspt.v4i1.303

Abstract

The Board of National Accreditation Body for Higher Education) evaluates the performance of a study program. This compels it to improve and maintain its performance. The process of accreditation involves several steps, one of which is the completion of accreditation documents by the study program. The completion requires data from various sources, both from the study program and the institution. However, the data required are often not recorded properly and kept by different sources. As a result, it takes longer time to complete the arrangement. Moreover, inconsistent data format becomes another factor which holds back this process. The application of fuzzy inference system, as used by Kesatuan Business and Informatics Institute, as in the above case can result in a better scoring in which each component is assessed and it will yield the prediction of the expected accreditation status before it is submitted to BAN-PT. This research aims to develop a web based accreditation system with fuzzy inference system and construct a prediction of score ad accreditation status in IBI Kesatuan, using 4 variables of input assessment criteria, namely: external condition, institutional profile, criteria and analysis, and development program decision. The resulting output is the status of non- accredited, good accredited, excellent accredited, and superior accredited. There are 4 phases in the methods: problem identification, needs and system analysis, system design, system implementation and testing system. The result of blackbox test show that 8 features can operate well. The features consist of criteria menu, indicator menu, date user, LKPS data, LED data, LKPS and LED assessment input, recapitulation and conclusion. Based on the results of the study, it can be concluded that accreditation system can be applied to predict the scores and accreditation status of information system study program of IBI Kesatuan. Keywords: accreditation, fuzzy inference system
Effects of spectral transformations in support vector machine on predicting 'Arumanis' mango ripeness using near-infrared spectroscopy Ali Khumaidi; Y. Aris Purwanto; Heru Sukoco; Sony Hartono Wijaya
ILKOM Jurnal Ilmiah Vol 13, No 3 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i3.856.206-215

Abstract

One of the challenges of exporting Arumanis mangoes is their accurate grading ability because the mangoes do not change color during ripening. Near-Infrared (NIR) spectroscopy is a non-destructive method for detecting the internal ripeness of fruit which is quite reliable. However, NIR absorbance bands are often nonspecific, extensive, and overlapping. Although SVM modeling is quite good in performance, it can still be improved by spectral transformation. In this study, 11 spectral transformation operations were compared with their combinations to find the best input model. Spectral transformation operations include SAVGOL, RNV, BASELINE, MSC, EMSC, NORML, CLIP, RESAMPLE, DETREND, SNV, and LSNV. In the 2 class classification model, the highest accuracy is obtained using RNV and SAVGOL. The prediction model for SSC content with the best MSE value uses 3 combinations of spectral transformation operations, namely DETREND, LSNV, and SAVGOL with parameter values: 'deriv_order': 0, 'filter_win': 31, 'poly_order': 6. As for the prediction model of mango hardness with The best MSE value uses 2 combinations of spectral transformation operations, namely LSNV and SAVGOL with parameter values: deriv_order ': 0,' filter_win ': 15,' poly_order ': 6.
Smart Water Management Framework Berbasis IoT Untuk Mendukung Pertanian Urban Yan Mitha Djaksana; Heru Sukoco; Sri Wahjuni; Hendra Rahmawan; Shelvie Nidya Neyman
PETIR Vol 14 No 1 (2021): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v14i1.1112

Abstract

Related to water resources is one of the problems that often occurs in certain areas that have large populations such as urban areas, in addition to having to provide water that is used for daily activities, today many urban residents live in urban hardships, so an alternative is needed in providing resources water that must be purchased in daily necessities, in this paper we proposed a framework for support urban farming that we called the smart water management system by utilizing the IoT (Internet of Thinks) technology specifically sensors and machine learning algorithms in managing available water resources. many researchers have developed a similar model, but the framework model that we proposed using reuse water and filtered rainwater so that it meets the minimum quality requirements of water that can be reused in agriculture, so we hopes to make domestic water use more effective and efficient and predictable water consumption and availability.
Service High Availability Pada Native Server dan Virtual Server Menggunakan Proxmox VE Dadan Irwan; Heru Sukoco; Sri Wahjuni
Jurnal Kajian Ilmiah Vol. 20 No. 2 (2020): Mei 2020
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.146 KB) | DOI: 10.31599/jki.v20i2.87

Abstract

Teknologi virtualisasi dapat meningkatkan kemampuan layanan menjadi dua mesin server atau lebih secara virtual. Sistem failover dan failback merupakan teknik high availability dalam mengatasi terjadinya kegagalan layanan pada master server. Penelitian ini bertujuan untuk menganalisis kemampuan service high availability dengan sistem failover dan failback pada dua arsitektur server yang berbeda yaitu native server dan virtual server menggunakan sistem virtualisasi Proxmox VE. Metodologi penelitian menggunakan tahapan analisa permasalahan dan kebutuhan sistem, disain arsitektur dan implementasi, pengujian dengan pengukuran kemampuan sistem, dan analisa hasil. Berdasarkan proses pengujian, high availability pada sistem virtual server memiliki tingkat kinerja lebih rendah rata-rata 4.15% dengan sistem native server. Kesimpulannya sistem virtualisasi memiliki keunggulan karena dapat memberikan dua layanan server virtual yang berbeda pada satu mesin native server sehingga lebih efisien dari sisi anggaran dan lebih efektif dalam pengelolaan sistem administrasi server.
Performance Analysis of ZigBee Mesh WSN in Carbon Monoxide Gas Monitoring System Muhammad Fuad; Muhammad Iqbal; Mamat Rahmat; Heru Sukoco; Husin Alatas
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp576-583

Abstract

The need for air pollutant monitoring system is very substantial especially in the developing countries such as Indonesia. In this research, we have performed a test of such system for carbon monoxide gas based on wireless sensor network (WSN) using ZigBee. This system is working with a mesh topology where each sensor node can communicate with one another. There are seven nodes that serve as sensor nodes and one node serving as Coordinator. Each sensor node has five components that represent of gas sensors. We measure three performance metrics during the test, i.e. throughput, delay, and packet loss. The system has been successfully implemented which is capable of displaying information in real time. The experiment resulted in an average carbon monoxide value of 25.1 ppm and showed a good performance. It showed a throughput more than 1.017 kbps, delay and packet loss ratio less than 409 ms and 5 %, respectively.
Distributed System and Multimaster Replication Model on Reliability Optimation Database Ravie Kurnia Laday; Heru Sukoco; Yani Nurhadryani
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Over the last two decades, significant advances have been made in the development of techniques for evaluating the performance, availability, and reliability of computer and communication systems in integration [11]. The reliability of the network is an important parameter in network [4]. Reliability is the performance, availability and security is a factors most important in a network . A distributed system is a system architecture in which computers can communicate and share resources [8]. This research applies a distributed system with load balancing and multimaster replication techniques in database. The results of this study found that the design of a system built to keep the data for connections between servers is in good condition and occurs down on one of the database server.DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7114 
Clustering Fragments Metagenome Using Self-Organizing Map Yunita Fauzia Achmad; Wisnu Ananta Kusuma; Heru Sukoco
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Metagenome is a combination of several microorganisms collected from the environment. In metagenome analysis, it is required binning for grouping metagenome fragment yielded by sequencer. This research used the composition approach for conducting metagenome fragment binning. In this approach, binning could be implemented using unsupervised or supervised learning. We used Self-Organizing Map (SOM) for conducting binning used on unsupervised learning. We compared two techniques of training in SOM, namely sequential training and batch training for finding the best techniques. The results showed that the batch training could obtain 3.8% error valued on the map of [10 15]. This error value is smaller than that of sequential training. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i3.7115 
Co-Authors Ahmad Luky Ramdani Ali Khumaidi Andri Hidayat Aris Purwanto Astried Silvanie Auriza Rahmad Akbar Chaerur Rozikin Dadan Irwan Debby Maureen Talumewo Dwi Susanto Erika Nachrowi Erliza Hambali Fahren Bukhari Hendra Rahmawan Hendra Rahmawan Hermawan Prasetya dan Taufik Djatna Husin Alatas Ida Ayu Made Sri Widiastuti Ida Bagus Nyoman Mantra Irman Hermadi Jaya Sena Turana Kudang Boro Seminar Liyantono . Made Hery Santosa MAMAT RAHMAT Mohamad Iqbal Suriansyah Mohamad Solahudin Muhammad Fuad Muhammad Fuad Muhammad Iqbal Muhammad Iqbal Pizaini Pizaini Ramdan Satra Ravie Kurnia Laday Satyanto Krido Saptomo Shelvie Nidya Neyman Sitanggang, Imas S. Siti Yuliyanti, Siti Sony Hartono Wijaya Sugi Guritman Wahjuni, Sri Wisnu Ananta Kusuma Yan Mitha Djaksana Yani Nurhadryani Yanto Hermawan Yuggo Afrianto Yunita Fauzia Achmad