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All Journal Perfecting a Video Game with Game Metrics Journal of Innovation and Applied Technology Proceeding of the Electrical Engineering Computer Science and Informatics Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Community Empowerment Lumbung Inovasi: Journal of Community Service Andalasian International Journal of Agricultural and Natural Sciences National Multidisciplinary Sciences
Muhammad Arwani
Universitas Nahdlatul Ulama Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences

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Fuzzy sequential model for strategic planning of small and medium scale industries Imam Santoso; Puspa Ayu Indah Prameswari; Aulia Bayu Yushila; Muhammad Arwani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.12239

Abstract

The use of strategic planning can be an alternative solution to improve industrial performance. In small and medium scale industries especially in apple chips industries, strategic planning helps to know the current industry situation and the steps that must be taken to overcome the existing problems. This study aimed to develop an improvement strategies using Fuzzy Sequential Modeling (FSM) model. FSM model was consisted a SWOT analysis, Root Cause Analysis (RCA), Bolden’s Taxonomy and fuzzy AHP. Based on SWOT analysis, the external factors of threats was the similar business competition and low purchasing power. RCA described the issues that needed to be fixed using Bolden’s Taxonomy as the reference for determining the action plans and produce four OIA (Open Improvement Area) there are old technology machines and equipment, difficulty of enterprise development, ineffective marketing media and low market share. The strategic planning was determined using Fuzzy AHP based on OIA and ABC enterprise needs to improve the low market share and ineffective marketing strategy.
A rapid classification of wheat flour protein content using artificial neural network model based on bioelectrical properties Sucipto Sucipto; Maffudhotul Anna; Muhammad Arwani; Yusuf Hendrawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9450

Abstract

A conventional technique of protein analysis is laborious and costly. One rapid method used to estimate protein content is near infrared spectroscopy (NIRS), but the cost is relatively expensive. Therefore, it is necessary to find a cheaper alternative measurement such as measuring the bioelectrical properties. This preliminary study is a new rapid method for classified modeling of wheat flour protein content based on the bioelectrical properties. A backpropagation artificial neural network (ANN) was developed to classify the protein content of wheat flour. ANN input were bioelectrical properties, namely capacitance, and resistance and output was a type of the flour, namely hard, medium and soft flour. The result showed that the ANN model could classify the various type of flour. The best ANN model produces a mean square error (MSE) and regression correlation (R) of 0.0399 and 0.9774 respectively. This ANN model could classify the protein content of wheat flour based on the bioelectrical properties and have the potential to be used as a basic instrument to estimate the protein content.
Upaya Pengembangan Agroindustri Kopi Pinogu Melalui Introduksi Alat Pengolahan Kopi Bambang Susilo; Kiki Fibrianto; Sunaryo Sunaryo; Gatot Ciptadi; Muhammad Arwani; Asma Naili Salsabila
Journal of Innovation and Applied Technology Vol 7, No 1 (2021)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2021.007.01.10

Abstract

Sumber daya alam yang dimiliki Kecamatan Pinogu pada sektor pertanian sangat menarik untuk dikembangkan. Terutama pada komoditas Kopi Pinogu yang memiliki kekhasan sendiri dan telah mendapat status resmi sebagi produk unggulan daerah. Namun dalam proses pengembangan Kopi Pinogu, masih didapati beberapa masalah yang menjadi penghambat. Pengolahan kopi yang masih menggunakan peralatan sederhana menjadi permasalahan yang dihadapi oleh petani Kopi Pinogu saat ini. Selain itu dilihat dari proses perawatan pertanian di Pinogu yang belum maksimal, juga turut andil untuk menghambat proses pengembangan. Solusi yang ditawarkan untuk mengatasi masalah tersebut antara lain dengan adanya pengenalan dan pelatihan teknologi tepat guna dalam pengolahan Kopi Pinogu. Selanjutnya untuk mendukung solusi pertama, dilaksanakan pemetaan diberbagai sektor untuk mencari akar masalah secara komperhensif. Dengan adanya kegiatan ini diharapkan dapat membantu menyelesaikan permasalahan yang teridentifikasi dari proses Pengembangan Kopi Pinogu.
Bioelectrical measurement for sugar recovery of sugarcane prediction using artificial neural network Sucipto Sucipto; Muhammad Arwani; Yusuf Hendrawan; Shinta Widaningtyas; Dimas F Al Riza; Simping Yuliatun; Supriyanto Supriyanto; Agus Somantri
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1028.978 KB) | DOI: 10.11591/eecsi.v5.1589

Abstract

One of the problems in the sugar industry is lack of low cost, simple and accurate measurement techniques for sugar recovery of sugarcane in the field or laboratory. This study investigated the potential using of bioelectrical properties as a non-destructive technique for this purpose. A parallel plate capacitor was developed to measure the bioelectric properties of sugarcane in a lateral and longitudinal position of the samples. Eighteen internode samples from 3 sugarcane varieties were measured within 0.1-10 kHz frequency range of LCR meter and then was analyzed sugar recovery in the laboratory. The result showed that in the lateral position are more capacitive and resistive than the longitudinal position. Artificial neural network (ANN) was developed for prediction of sugar recovery as a function of bioelectrical properties. The best ANN model produces a high accuracy in the lateral bioelectrical measurement position with a correlation coefficient (R) > 0.90 and mean square error (MSE) <; 0.05. It showed that the ANN model based on bioelectrical properties had the potential to be developed as a simple technique to predict the sugar recovery of sugarcane.
A dynamic model for managing adulteration risks of dairy industry supply chain in Indonesia Muhammad Arwani; Imam Santoso; Nuria Rahmatin
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 1, No 1 (2018)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (853.595 KB) | DOI: 10.21776/ub.afssaae.2018.001.01.1

Abstract

Supply chain has a principal role in supporting the development of milk processing industry. The supply chain of the dairy industry in Indonesia involves a number of actors and a variety of dairy handling that may lead into potential risks and failures. One of the risks affecting supply chain performance is the adulteration of raw materials. This condition can possibly result in the occurrence of chain’s effect. Thus, it is necessary to build a dynamic model to handle such problems. Dynamic modeling was used in this study. For the initial phase, determination of supply chain risk factor was investigated. Second, modeling of supply chain mitigation risk was conducted by using dynamic system. Dynamic models were used to analyse complex problems with many variables involved. The problem analysis results were modeled in a dynamic system that has an aim to reduce the risk of adulteration. This research has successfully constructed a model consisted of one main variable that can potentially reduce the risk. The foremost recommended strategy was to improve the transparency of supply chain management.
DECISION SUPPORT SYSTEM BY USING MULTIPLE ATTRIBUTE DECISION MAKING WITH SIMPLE ADDITIVE WEIGHTING METHOD (MADM-SAW) METHOD IN SELECTING THE BEST BROMELAIN Ririn Fatma Nanda; Anwar Kasim; Rini Rini; Daimon Syukri; Muhammad Arwani
Andalasian International Journal of Agriculture and Natural Sciences (AIJANS) Vol. 3 No. 02 (2022): Andalasian International Journal of Agricultural and Natural Sciences
Publisher : Institute of Research And Community Service, Andalas University / LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijans.v3.i02.114-119.2022

Abstract

Bromelain is a protease enzyme obtained from pineapple. In choosing bromelain only pay attention to its chemical analysis and there is no rank yet. Therefore, research has been carried out in making the best bromelain decision using the Multiple Attribute Decision Making with Simple Additive Weighting Method (MADM-SAW) method based on the shelf life of pineapples. The basic concept of this method is to find the weighted sum of the performance branches for each alternative (treatment) of all attributes so that the best alternative will be obtained in the selection of crude bromelain enzymes based on pineapple storage. The results showed that the best pineapple fruit was with storage of day 0 as rank 1, with a total value was 0.9025.
Workshop Pembuatan Pelet Ikan Berbasis Black Soldier Fly Larva di PT Kharisma Inti Usaha Alan Dwi Wibowo; Novianti Adi Rohmanna; Zuliyan Agus Nur Muchlis Majid; Muhammad Arwani; Dessy Maulidya Maharani; Arief RM Akbar; Hikma Ellya; Rila Rahma Apriani; Nukhak Nufita Sari; Ronny Mulyawan; Linda Rahmawati; Danang Yugo Pratomo; Baimy Alexander; Hartoni Hartoni
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 7 No. 4 (2022): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v7i4.954

Abstract

Black soldier fly larva merupakan salah satu agen pendegradasi limbah organik. PT KIU merupakan salah satu industri perkebunan dan pengolahan kelapa sawit. Salah satu limbah yang dihasilkan adalah solid decanter. Solid decanter dapat menjadi subtract yang tepat untuk black soldier fly larva (BSFL). Selain dapat emngurangi limbah organik, BSFL juga mengahasilkan biomassa dengan kandungan protein yang tinggi. Salah stau produk yang dapat diproduksi dari biomassa BSFL adalah pelet ikan. Produksi pelet ikan dirasa mampu mendukung sirkular ekonomi di PT KIU. Kegiatan ini dilakukan untuk meningkatkan pengetahuan dan keterampilan karywanan di PT KIU dalam mengelola pelet ikan berbasis BSFL. Selain itu, kegiatan ini juga bertujuan untuk meningkatkan kesejahteraan karwayan PT KIU. Kegiatan dilakukan melalui beberapa tahapan, yaitu analisis permasalahan, perumusan masalah, pelaksanaan, pendampingan, dan evaluasi. Pada proses pelaksanaan di lakukan kegiatan workshop dan pelatihan pembuatan pelet berbasis BSFL. Hasil menunjukkan bahwa terjadi peningkatan pengetahuan dan keterampilan karyawan PT KIU di bidang pemanfaatan BSFL sebagai pelet. Disamping itu juga dilakukan pembuatan scenario peningkatan pendapatan. Diestimasikan terdapat penambahan pendapatan sekitar 318.260 per bulan, atau sekitar Rp. 3.819.120/tahun untuk setiap pekerja dalam  kelompok yang terdiri dari 10 pekerja. Black Soldier Fly Larva Based Fish Pellet Making Workshop at PT Kharisma Inti Usaha Black soldier fly larva was one of the organic waste degrading agents. PT KIU was one of the palm oil plantation and processing industries. One of the wastes generated was a solid decanter. Solid decanters can be used as the substrate of black soldier fly larvae (BSFL). Besides BSFL reduced organic waste, BSFL also produces biomass with high protein content. One of the products that can be produced from BSFL biomass is fish pellets. The production of fish pellets could support the circular economy at PT KIU. The goal of this program was to increase the knowledge and skills of employees at PT KIU in managing BSFL-based fish pellets. In addition, this activity also aimed to improve the welfare of PT KIU employees. Activities are carried out through several stages: problem analysis, problem-solving, implementation, mentoring, and evaluation.  Workshops and training about how to make pellet was the main process. The results show that the knowledge and skills of PT KIU employees about the pellets production process are incresing. Besides that, a scenario for increasing revenue is also carried out. It is estimated that there will be an additional income of around 318,260 per month, or around Rp. 3,819,120/year for each worker in a group of 10 workers
Technology transfer of organic shredded beef to increase the economic value of processed Pinogu beef Bambang Susilo; Hendrix Yulis Setyawan; Muhammad Arwani; Kiki Fibrianto; Yudin Yudiawan Maksum; Azwar Lahusin; Irwan Bempah; Wafa Nida Faida Azra; Riska Ayu Lestari; Rizki Putra Samudra; Arya Nugraha Hananto; Muhammad Bagaskara Wiratirta; Essa Noer Bhakty Mulia; Amelia Amelia; Fahmi Akbar Yuliansyah; I Kadek Olin Adi Wiguna; Djatmiko Bagus Wibowo
Community Empowerment Vol 8 No 5 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.8337

Abstract

Pinogu is a sub-district located in the Bogani Nani Wartabone National Park area, Gorontalo. Limited road access makes it difficult for the Pinogu community to sell organic cattle, which is one of Pinogu's main commodities. The purpose of this community service is to increase the knowledge and skills of the community in the Pinogu sub-district in processing organic beef into beef floss and fostering an entrepreneurial spirit in the business of making beef floss. The method used is training and mentoring with the early stages of designing tools (shredding machines and spinners), training on making beeaf floss, and assisting processing groups. This activity produces beef floss products with the name "SIBOGU" and a processing group with the name "KUB Mogulonga" consisting of mothers who are interested in participating in processing beef floss. This activity received positive support from the local government to assist with product licensing and marketing. In the future, it is hoped that the production process of beef floss can run sustainably and the cattle in Pinogu can have a more reasonable selling value.
Introduction of cow manure biogas using the HDPE geomembrane model in Pinogu, Gorontalo Bambang Susilo; Hendrix Yulis Setyawan; Muhammad Arwani; Kiki Fibrianto; Yudin Yudiawan Maksum; Azwar Lahusin; Irwan Bempah; Wafa Nida Faida Azra; Riska Ayu Lestari; Rizki Putra Samudra; Arya Nugraha Hananto; Muhammad Bagaskara Wiratirta; Essa Noer Bhakty Mulia; Amelia Amelia; Fahmi Akbar Yuliansyah; I Kadek Olin Adi Wiguna; Djatmiko Bagus Wibowo
Community Empowerment Vol 8 No 5 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.8342

Abstract

Pinogu sub-district is an organic area in Bone Bolango district, Gorontalo province with abundant cattle potential. Behind a large number of cows in the Pinogu area, a new problem arises in the form of cow manure scattered on the streets. One of the technologies developed to overcome this problem is the introduction of biogas as a solution for utilizing cow manure which is environmentally friendly renewable energy. The digester model produced is a tubular HDPE (high-density polyethylene) geomembrane that has the advantages of being cheap, durable, and suitable for construction in the Pinogu area which has shallow groundwater characteristics. The process of constructing the digester was carried out for 10 days at the house of a resident in Pinogu Induk Village with the stages of site survey, design of the biogas installation unit, introduction, and training on constructing the digester to test the flame. Gas can be used after 5 days of filling cow dung into the digester. In addition to biogas, the remaining results of fermentation and degradation of cow dung can be used as liquid or solid organic fertilizer. It is hoped that with the construction of the HDPE geomembrane model biogas, the community will be able to take advantage of the potential of cow dung as an alternative fuel or renewable energy that is environmentally friendly.
Strategi Pengembangan Usaha Ikan Asin Kering di Desa Kronjo Menggunakan Metode SWOT dan Quantitative Strategic Planning Matrix (QSPM) Shinta Widyaningtyas; Iqlima Khoirun Nufus; Muhammad Arwani
National Multidisciplinary Sciences Vol. 2 No. 3 (2023): Proceeding SEMARTANI 2
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/nms.v2i3.289

Abstract

Desa Kronjo merupakan salah satu sentra penghasil ikan asin kering di Kabupaten Tangerang. Selain potensi perikanan, Desa Kronjo juga memiliki potensi wisata yaitu Pulau Cangkir. Hal ini dimanfaatkan oleh masyarakat untuk menjadikan produk ikan asin kering sebagai cinderamata wisata. Pengembangan usaha ikan asin di Desa Kronjo memiliki beberapa kendala diantaranya bergantung terhadap hasil tangkapan nelayan yang tidak pasti, proses pengeringan masih bersifat tradisional, serta pemasaran produk yang belum berkembang. Untuk itu diperlukan perumusan strategi pengembangan usaha ikan asin kering di Desa Kronjo. Salah satu metode yang dapat digunakan untuk strategi pengembangan usaha antara lain dengan analisis Strength, Weakness, Opportunity, Threat (SWOT) untuk mengidentifikasi faktor internal dan eksternal dalam merumuskan strategi dan Quantitative Strategic Planning Matrix (QSPM) sebagai alat untuk menentukan prioritas strategi terbaik. Hasil penelitian menunjukan usaha ikan asin kering memiliki 11 faktor internal dan 8 faktor eksternal. Faktor internal terdiri dari 7 kekuatan dan 4 kelemahan, sedangkan faktor eksternal terdiri dari 4 peluang dan 4 ancaman. Total skor untuk faktor internal sebesar 3,299 dan faktor eksternal sebesar 3,030 sehingga posisi usaha ikan asin kering di Desa Kronjo berada pada kuadran 1 (Grow and Build Strategy). Hasil metode QSPM menunjukkan prioritas strategi yang diterapkan pada usaha ikan asin kering di Desa Kronjo adalah mempertahankan kualitas produk dengan nilai Total Attractive Score (TAS) sebesar 6,007.
Co-Authors Agus Somantri Alan Dwi Wibowo Amelia Amelia Anwar Kasim Apriani, Rila Rahma Arief RM Akbar Arya Nugraha Hananto Asma Naili Salsabila Aulia Bayu Yushila Azwar Lahusin Baimy Alexander Bambang Susilo Bambang Susilo Daimon Syukri Dessy Maulidya Maharani Dimas F Al Riza Djatmiko Bagus Wibowo Ellya, Hikma Essa Noer Bhakty Mulia Fahmi Akbar Yuliansyah Gatot Ciptadi Hartoni Hartoni I Kadek Olin Adi Wiguna Imam Santoso Iqlima Khoirun Nufus Irwan Bempah KIKI FIBRIANTO Linda Rahmawati Maffudhotul Anna Majid, Zuliyan Agus Nur Muchlis Muhammad Bagaskara Wiratirta Mulyawan, Ronny Nuria Rahmatin Pratomo, Danang Yugo Puspa Ayu Indah Prameswari Rini Rini Ririn Fatma Nanda Riska Ayu Lestari Rizki Putra Samudra Rohmanna, Novianti Adi Sari, Nukhak Nufita Setyawan, Hendrix Yulis Shinta Widaningtyas Shinta Widyaningtyas Simping Yuliatun Sucipto, Sucipto Sunaryo Sunaryo Supriyanto Supriyanto Wafa Nida Faida Azra Yudin Yudiawan Maksum Yusuf Hendrawan