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All Journal International Journal of Evaluation and Research in Education (IJERE) TELKOMNIKA (Telecommunication Computing Electronics and Control) Scientific Journal of Informatics 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
Departemen Ilmu Komputer, FMIPA, 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 Social Sciences

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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 
Accelerating Computation of DNA Multiple Sequence Alignment in Distributed Environment Ramdan Satra; Wisnu Ananta Kusuma; Heru Sukoco
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This technique is very important to support many Bioinformatics task such as identifying Single Nucleotide Polymorphism (SNP) and metagenome fragments binning. The simplest algorithm in MSA is Star Algorithm. The complexity of DNA multiple sequence alignment using dynamic programming technique is very high. This research aims to accelerate computation of Star Mutiple Sequence Alignment using Message Passing Interfaces (MPI). The performance of the proposed method was evaluated by calculating speedup. Experiment was conducted using 64 sequences of 800 bp Glycine-max-chromosome-9-BBI fragments yielded by randomly cut from reference sequence of Glycine-max-chromosome-9-BBI taken from NCBI (National Center for Biotechnology Information). The results showed that the proposed technique could obtain speedup three times using five computers when aligning 64 sequences of Glycine-max-chromosome-9-BBI fragments.  Moreover, the increasing of the number of computers would significantly increased speedup of the proposed. http://dx.doi.org/10.11591/telkomnika.v12i12.6572 
Weed Detection Using Fractal-Based Low Cost Commodity Hardware Raspberry Pi Mohamad Iqbal Suriansyah; Heru Sukoco; Mohamad Solahudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp426-430

Abstract

Conventional weed control system is usually used by spraying herbicides uniformly throughout the land. Excessive use of herbicides on an ongoing basis can produce chemical waste that is harmful to plants and soil. The application of precision agriculture farming in the detection process in order to control weeds using Computer Vision On Farm becomes interesting, but it still has some problems due to computer size and power consumption. Raspberry Pi is one of the minicomputer with low price and low power consumption. Having computing like a desktop computer with the open source Linux operating system can be used for image processing and weed fractal dimension processing using OpenCV library and C programming. This research results the best fractal computation time when performing the image with dimension size of 128 x 128 pixels. It is about 7 milliseconds. Furthermore, the average speed ratio between personal computer and Raspberry Pi is 0.04 times faster. The use of Raspberry Pi is cost and power consumption efficient compared to personal computer.
Co-Authors Agus Mulyana Ali Khumaidi Andri Hidayat Aris Purwanto Astried Silvanie Auriza Rahmad Akbar Chaerur Rozikin Dadan Irwan Debby Maureen Talumewo Dwi Susanto Eddy Prasetyo Nugroho Erika Nachrowi Erliza Hambali Fahren Bukhari Gunadi Harry Sulistyo Hendra Rahmawan Hendra Rahmawan Husin Alatas Ida Ayu Made Sri Widiastuti Ida Bagus Nyoman Mantra Imas Sukaesih Sitanggang Irman Hermadi Jaya Sena Turana Katie Weir Kudang Boro Seminar Liyantono . MAMAT RAHMAT Mohamad Iqbal Suriansyah Mohamad Solahudin Muhammad Fuad Muhammad Fuad Muhammad Iqbal Muhammad Iqbal Pizaini Pizaini Ramdan Satra Ramdani, Ahmad Luky Ravie Kurnia Laday Satyanto Krido Saptomo Shelvie Nidya Neyman Sitanggang, Imas S. Siti Yuliyanti, Siti Sony Hartono Wijaya Sugi Guritman Taufik Djatna Wahjuni, Sri Wisnu Ananta Kusuma Yan Mitha Djaksana Yani Nurhadryani Yanto Hermawan Yuggo Afrianto Yunita Fauzia Achmad