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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya J@TI (TEKNIK INDUSTRI) Journal of Engineering and Management in Industrial System Jurnal Ilmiah Teknik Industri JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Mechanical Engineering Science and Technology JPSE (Journal of Physical Science and Engineering) Briliant: Jurnal Riset dan Konseptual Knowledge Engineering and Data Science Journal of Research and Technology Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Civil Engineering Dimension JURNAL REKAYASA TEKNOLOGI INFORMASI Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia Industri Inovatif : Jurnal Teknik Industri Jurnal Teknologi Informasi dan Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Matrik : Jurnal Manajemen dan Teknik Industri Produksi Jurnal Pengabdian, Pendidikan dan Teknologi Jurnal Graha Pengabdian Jurnal Pengabdian kepada Masyarakat Nusantara Insyst : Journal of Intelligent System and Computation Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) International Journal of Industrial Engineering and Engineering Management Automotive Experiences PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia GIAT: Jurnal Teknologi untuk Masyarakat Jurnal Ilmiah Swara MaNajemen (Swara Mahasiswa Manajemen) Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Spektrum Industri
Aisyah Larasati
Universitas Negeri Malang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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PENGARUH PENAMBAHAN TEPUNG TERIGU TERHADAP MUTU BAKSO JAMUR TIRAM PUTIH Mohamad Yogi Hertanto; Aisyah Larasati; Issutarti Issutarti
Teknologi dan Kejuruan: Jurnal Teknologi, Kejuruan, dan Pengajarannya Vol 41, No 2: September 2018
Publisher : Fakultas Teknik Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v41i22018p164

Abstract

Tujuan penelitian untuk menganalisis kandungan proksimat dan sifat organoleptik bakso jamur tiram. Penelitian eksperimen ini menggunakan Rancangan Acak Lengkap (RAL) dengan dua kali pengulangan. Data kandungan proksimat dianalisis menggunakan ANOVA dilanjutkan dengan uji DMRT. Hasil penelitian menunjukan bahwa kandungan proksimat bakso jamur tiram dengan penambahan tepung terigu meliputi protein, lemak, air, abu, serat kasar, dan serat kasar secara berurutan untuk perlakuan 1% yaitu 11,64%, 4,03%, 46,73%, 5,31%, 1,55% dan 28,51%, untuk perlakuan 2% yaitu 12,53%, 3,29%, 48,75%, 5,59%, 1,86%, dan 29,84% dan untuk perlakuan 3% yaitu 13,18%, 2,86%, 49,79%, 5,66%, 2,20% dan 32,28%. Penambahan tepung berpengaruh terhadap tekstur dan rasa. Hasil skor tekstur 4,33 (cukup kenyal) dan skor rasa 4,17 (cukup sedap). Penambahan tepung terigu berpengaruh terhadap tekstur, dengan hasil skor 4,16 (agak suka). Kesimpulan dari penelitian ini adalah kadar abu bakso jamur tiram masih belum memenuhi syarat SNI bakso 2014.
PENGARUH TEKNIK SANGRAI DAN PANGGANG DALAM PEMBUATAN TEPUNG KACANG HIJAU (Phaseolus radiates L.) TERHADAP MUTU KATETONG Rosa Putri Pertiwi; Aisyah Larasati; Laili Hidayati
Teknologi dan Kejuruan: Jurnal Teknologi, Kejuruan, dan Pengajarannya Vol 41, No 1: Februari 2018
Publisher : Fakultas Teknik Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v41i12018p089

Abstract

Tujuan penelitian adalah menganalisis : (1) kandungan protein tepung ka-cang hijau dan cookies katetong tepung kacang hijau, kadar air tepung kacang hijau; (2) sifat fisik warna; (3) mutu hedonik aroma dan tekstur; dan 4) tingkat kesukaan panelis terhadap aroma, tekstur, dan rasa pada cookies katetong tepung kacang hijau. Data dianalisis menggunakan uji t. Hasil penelitian menunjukkan perlakuan sangrai dan oven pada proses pembuatan tepung kacang hijau tidak berpengaruh terhadap kandungan protein tepung kacang hijau, namun berpengaruh pada kadar air tepung kacang hijau dan protein cookies katetong tepung kacang hijau. Perlakuan sangrai dan oven pada pembuatan tepung kacang hijau tidak berpengaruh terhadap sifat mutu tekstur, aroma, dan rasa cookies katetong tepung kacang hijau, sedangkan pada mutu aroma dan hedonik tektur cookies katetong tepung kacang hijau menunjukkan adanya pengaruh yang nyata.
Analisis Perubahan Kandungan Asam Lemak Bebas pada Nasi Lalapan yang Menggunakan Minyak Goreng Berulang di Pedagang Kaki Lima Kota Malang Widi Rimastuti; Rina Rifqie Mariana; Aisyah Larasati
Teknologi dan Kejuruan: Jurnal Teknologi, Kejuruan, dan Pengajarannya Vol 42, No 2: September 2019
Publisher : Fakultas Teknik Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v42i22019p170-178

Abstract

This research aimed to (1) find the change in free fatty acid content in "nasi lalapan" that used repeated cooking oil, (2) the content difference of "nasi lalapan" from each oil repetition. This research was experimental using a quantitative approach. The target of this research was "nasi lalapan" street vendors in Malang City. The samples were taken from one vendor in one sub-district. The samples were fried chicken, fried catfish, and fried tempeh in the 0, 5th, 10th, and 20th frying and were tested in the laboratory to find the free fatty acid content change. The data analysis in this research used the ANOVA test and further LSD test. The results showed that (1) free fatty acid in fried chicken, catfish, and tempeh increased along with the frying repetition, (2) the usage of repeated cooking oil influenced the free fatty acid content.
PENINGKATAN KEMAMPUAN MENGOPERASIKAN REFERENCE MANAGEMENT SOFTWARE ZOTERO DAN END-NOTE UNTUK GURU SMKN 6 MALANG Aisyah Larasati
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 26, No 1 (2020): JANUARI - MARET
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v26i1.15777

Abstract

Kewajiban untuk menulis karya ilmiah bagi guru mendorong pentingnya penguasaan reference management software agar kualitas sitasi dan daftar rujukan dalam karya ilmiah sesuai dengan format yang diinginkan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pengetahuan dan keterampilan bagi guru SMKN 6 Malang tentang reference management software Zotero dan EndNote. Kegiatan pengabdian dilakukan selama dua hari. Selain itu, dilakukan juga survey tentang persepsi pelatihan tentang reference management software dan operasionalnya sebelum dan sesudah pelatihan. Selain itu, survey juga berisikan tentang persepsi peserta pelatihan terhadap penyampaian materi pelatihan. Dari hasil survey, diketahui mayoritas peserta pelatihan belum memahami reference management software dan pengoperasiannya. Setelah pelatihan, mayoritas peserta pelatihan berpersepsi bahwa Zotero lebih mudah untuk digunakan dibandingkan dengan End-Note. Mayoritas peserta pelatihan berpersepsi bahwa kedua reference management software yang diajarkan, baik Zotero maupun End-Note, mudah untuk digunakan dalam menulis sitasi dan daftar pustaka. Hasil survey juga menunjukkan bahwa mayoritas peserta pelatihan menyatakan tingkat penguasaan materi baik dan cara penyampaian materi oleh penyaji menarik serta interaksi penyaji dan peserta baik.Kata kunci: Reference Management Software; Zotero; End-Note; Sitasi.AbstractThe obligation to write scientific papers for teachers encourages the importance of mastering reference management software so that the quality of citations and reference lists in scientific papers are in accordance with the desired format. This community service activity aims to provide knowledge and skills for teachers of SMKN 6 Malang about Zotero and EndNote reference management software. The workshop activities were carried out for two days. In addition, a survey of the workshop participant about reference management software and operations was also conducted before and after the workshop. The survey also contained perceptions of workshop participants regarding the delivery of training materials. From the survey results, it is known that the majority of workshop participants did not understand the reference management software and its operation before attending the workshop. After the workshop, most of the participants perceived that Zotero was easier to use compared to End-Note. Most of the participants also perceived that the two reference management software taught, both Zotero and End-Note, were easy to use in writing citations and references. The survey results also showed that the majority of participants stated that the level of mastery of the material was good and the way the material was presented by the presenters was interesting and the interaction between presenters and participants was good.Keywords: Reference Management Software; Zotero; End-Note; Citation.
Struktur dan Sifat Mekanik Film Bacterial Cellulose dengan Disintegrasi Mekanis Muhamad Muhajir; Heru Suryanto; Aisyah Larasati
JPSE (Journal of Physical Science and Engineering) Vol 3, No 2 (2018): JPSE (Journal of Physical Science and Engineering)
Publisher : Universitas Negeri Malang

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

Abstract

Film structure was greatly affected to mechanical properties of Bacterial Cellulose (BC). An engineering effort on Bacterial Cellulose Fibers (BCF) structure was changing the size and distribution of BC fiber through mechanical disintegrator process using a High Speed Blender (HSB). This study aimed to show the effect of disintegrator to the structure and mechanical properties of BCF film. The method used in this study is a synthesis of BCF from fermentation from pineapple peel waste with incubation of Acetobacter xylinum (A. xylinum) for 14 days. BC pellicle was soaked by using 1% NaOH for 24 hours then distrusted using the HSB with code speed variation of L (18000 rpm), M (21000 rpm), and H (26000 rpm) for 5 min. Then film formed by a casting method and dried in the oven at a temperature of 60 °C for 8 hours. The study result showed that the morphology of BCF formed pores, the crystallinity decreased so the tensile strength was decreased by 94%. The results of this study are expected to provide engineering information on the BCF structure potentially for filters and for sensors. DOI: http://dx.doi.org/10.17977/um024v3i22018p055 
DATA ANALYTICS SUPPORTING LEAN MANUFACTURING TOWARDS INDUSTRY 4.0 THROUGH SIMULATION: A REVIEW Soufhwee Abdul Rahman; Effendi Bin Mohamad; Azrul Abdul Rahman; Ihwan Hamdala; Aisyah Larasati; supawi pawenang; Teruaki Ito
Journal of Engineering and Management in Industrial System Vol 8, No 1 (2020)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

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

Abstract

The Lean Manufacturing (LM) system has been increasingly used in many industrial applications, worldwide, in the last 3 decades. The LM system is based on sound philosophy and includes several tools and principles, which permit its usage in eliminating wastes and decreasing the production costs. Though the conventional LM is helpful, the new paradigm, i.e., Industry 4.0, has started challenging the system. The traditional LM system cannot analyse the complex issues present in the existing competitive market on its own. This is because the Industry 4.0 is based on data which is more diverse, complex and fast. In this review, the researchers have attempted to identify the solution for the current scenario. Literature survey showed that simulation was a relevant tool that could be used for addressing the complexity-based issues related to the new concept. Though the combination of the simulation and LM system helped in understanding the problems, there still existed a gap in the LM system with regards to the merging of the 2 technologies of Industry 4.0. 
Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer Apif M. Hajji; Aisyah Larasati; Michael P. Lewis
Civil Engineering Dimension Vol. 19 No. 2 (2017): SEPTEMBER 2017
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.879 KB) | DOI: 10.9744/ced.19.2.73-78

Abstract

Heavy duty diesel (HDD) construction equipment which includes bulldozer is important in infrastructure development. This equipment consumes large amount of diesel fuel and emits high level of carbon dioxide (CO2). The total emissions are dependent upon the fuel use, and the fuel use is dependent upon the productivity of the equipment. This paper proposes a methodology and tool for estimating CO2 emissions from bulldozer based on the productivity rate. The methodology is formulated by using the result of multiple linear regressions (MLR) of CAT’s data for obtaining the productivity model and combined with the EPA’s NONROAD model. The emission factors from NONROAD model were used to quantify the CO2 emissions. To display the function of the model, a case study and sensitivity analysis for a bulldozer’s activity is also presented. MLR results indicate that the productivity model generated from CAT’s data can be used as the basis for quantifying the total CO2 emissions for an earthwork activity.
PENGEMBANGAN MODEL PERSETUJUAN KREDIT NASABAH BANK DENGAN ALGORITMA KLASIFIKASI NAÏVE BAYES, DECISION TREE, DAN ARTIFICIAL NEURAL NETWORK Puji Rahmawati; Aisyah Larasati; Marsono Marsono
J@ti Undip: Jurnal Teknik Industri Vol 17, No 1 (2022): Januari 2022
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.969 KB) | DOI: 10.14710/jati.1.1.1-12

Abstract

Kredit merupakan salah satu solusi bagi masyarakat untuk mendapatkan pinjaman dari bank dengan waktu pembayaran yang dilakukan secara berkala sesuai dengan ketentuan yang telah disetujui baik oleh bank maupun masyarakat itu sendiri sebagai calon nasabah. Berdasarkan hal tersebut, penelitian ini bertujuan untuk melakukan klasifikasi data profil nasabah yang memiliki peluang untuk mengajukan kredit pinjaman atau tidak menggunakan data mining dengan bantuan tiga algoritma yaitu Naïve Bayes, Decision Tree, Artificial Neural Network (ANN), dan melihat kriteria profil nasabah yang dihasilkan pada masing-masing hasil prediksi sebagai acuan bagi bank dalam penawaran kredit kepada nasabah. Evaluasi hasil ketiga algoritma yang digunakan dilakukan dengan melihat nilai gain ratio, confusion matrix, dan kurva Receiver Operating Characteristics (ROC) dengan melihat nilai Area Under Curve (AUC) yang dihasilkan. Hasil yang didapatkan menunjukkan bahwa algoritma ANN menghasilkan nilai akurasi tertinggi dengan akurasi sebesar 99.61% dan AUC = 0.983. Disusul dengan decision tree menghasilkan nilai akurasi sebesar 99.36% dan AUC = 0.999. Terakhir, algoritma naïve bayes dengan nilai akurasi = 90.79% dan AUC sebesar 0.935. Karakteristik nasabah yang memiliki peluang untuk mengajukan kredit jika income rata-rata pada rentang 101-116 atau > 116 USD setiap bulannya, age = 23 - 43 tahun, family >4, memiliki CD Account, dan CC Average =3 – 9 USD. Terdapat tujuh faktor importance yang mempengaruhi hasil tiga algoritma tersebut yaitu income, mortgage, family, CD account, CC average, education, dan age.
PENINGKATAN NILAI OVERALL EQUIPMENT EFFECTIVENESS MESIN STONE CRUSHER DENGAN MENGGUNAKAN PENDEKATAN TOTAL PRODUCTIVE MAINTENANCE (STUDI KASUS PT. BRANTAS ABIPRAYA) Diva Odilia Shafitri; Aisyah Larasati; Apif Miptahul Hajji
Industri Inovatif : Jurnal Teknik Industri Vol 12 No 2 (2022): Inovatif Vol. 12 No. 2
Publisher : Prodi Teknik Industri S1 Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/industri.v12i2.4007

Abstract

Mesin stone crusher digunakan untuk memproduksi agregat, yang menjadi salah satu bahan utama dalam pembuatan beton. Permasalahan yang saat ini sedang dihadapi perusahaan Abipraya Beton adalah loss time mesin yang besar pada mesin stone crusher dan belum dapat memenuhi kuantitas dan kualitas yang diharapkan oleh perusahaan. Permasalahan tersebut menjadi fokus penelitian dalam meningkatkan efektivitas mesin stone crusher dengan pendekatan Total Productive Maintenance (TPM). Langkah yang dilakukan dalam menerapkan TPM adalah dengan menghitung nilai Overall Equipment Effectiveness (OEE) dan mengetahui faktor-faktor yang mempengaruhi nilai OEE dengan menghitung six big losses. Setelah itu, melakukan analisa dengan menggunakan diagram pareto, diagram fishbone, dan Failure Mode and Effect Analysis (FMEA), sehingga dapat diusulkan perbaikan dan strategi pemeliharaan. Hasil pengolahan data pada periode Agustus 2018-Agustus 2019, mesin stone crusher memiliki nilai OEE yang masih berada di bawah standar dunia yang dirumuskan oleh JIPM, yaitu sebesar 67%. Nilai tersebut menunjukkan bahwa ada ruang yang besar untuk dilakukannya peningkatan efektivitas. Faktor terbesar yang mempengaruhi rendahnya nilai OEE adalah idling and minor stoppages (52,55%), reduced speed (26,68%), dan equipment failure (16,61%). Rekomendasi perbaikan yang diusulkan adalah perusahaan dapat menyediakan check sheet untuk kegiatan pemeliharaan rutin pada mesin stone crusher, melakukan pengecekan stok cadangan untuk komponen dan bahan bakar genset, memberikan pelatihan secara berkala kepada pekerja untuk meningkatkan kemampuan dan keterampilannya dalam hal mengoperasikan dan memelihara mesin stone crusher, dan menghimbau seluruh karyawan untuk berperan aktif dalam menerapkan metode TPM. Dengan penerapan TPM dan rekomendasi perbaikan maka nilai OEE mesin stone crusher tahun 2021 diharapkan dapat meningkat menjadi 86%.
Analyzing Cognitive Load Measurements of the Truck Drivers to Determine Transportation Routes and Improve Safety Driving: A Review Study Adithya Sudiarno; Ahmad Murtaja Dzaky Ma’arij; Ishardita Pambudi Tama; Aisyah Larasati; Dewi Hardiningtyas
Automotive Experiences Vol. 6 No. 1 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.8301

Abstract

As part of the Supply Chain (SC), oftentimes Land Logistic Driver (LLD) are held by various uncontrollable occurrences from the surroundings. This caused the cognitive load of the drivers to become higher, which could potentially affect the performance of the LLD to meet the Key Performance Indicator (KPI) of the SC overall. Not only the performance that is affected, but a higher load also could affect the driving behavior towards negativity, as anger and stress perceived become higher, hence a higher crash possibility. Therefore, the need to study the possibility to measure the cognitive load in a certain route that they are on, so any adjustments could be made during a transport activity, with Electroencephalogram (EEG) used as the means to measure it. This study is done by reviewing 15 available research as references regarding EEG and cognitive load. It is possible to use EEG in measuring cognitive load during driving activity, with the focus area of data gathering on the central lobe, parietal lobe, and temporal lobes, with the data extracted from EEG should use the most accurate classifier that focuses on analyzing beta (β) and alpha (α) band as the significant brain wave of the active state. The possible result of the brain wave analysis could be used to determine whether the current route option is burdening LLDs' cognitive load and should be corrected to improve safety driving. Further inclusion of the analysis result could be incorporated into a set of KPI in measuring SC performance.
Co-Authors Abdul Muid Abdul Muid Abdul Rahman, Azrul Abdul Rahman, Soufhwee Adithya Sudiarno Afridasari, Mayang Fikri Agus Rachmad Purnama Ahmad Murtaja Dzaky Ma’arij Aminnudin, Aminnudin Apif M. Hajji Apif Miptahul Hajji Azrul Abdul Rahman Azzahra, Prestika Dilla Benzfica Hanif Alfi Al Idrus Chen, Yuh-Wen Dewi Hardiningtyas Diva Odilia Shafitri Dwiastuti, Anik Effendi Bin Mohamad Eridani Budi Darmawan, Vertic Erwin Komara Mindarta Fathullah, Muhammad Fatimatuzzahro, Adelia Fauziah, Taznim Hajji, Apif M. Hanif, Benzfica Haque, Salma Ayu Hary Suswanto Heru Setiyo Cahyono Heru Suryanto Huang Yue Ihwan Hamdala Imam Alfianto Indra, Sofiandi Dwi Indrawan, Yogi Fradika Ishardita Pambudi Tama Issutarti Issutarti Issutarti Issutarti, Issutarti Ito, Teruaki Jibril Maulana Khaznahar, Vitmaya khusnul khotimah Laili Hidayati Le, Trung Lucia Andriani Pranita Mahsuli, Taufiq Malta R, Viola Maren, Raretha Marsono Marsono Michael P. Lewis Michael P. Lewis Moekti, M. Rhessal Chandra Mohamad Yogi Hertanto Mohamad, Effendi Mohamad, Effendi Bin Muhajir, Muhamad Mu’id, Abdul Nikmatus Sholikha, Nikmatus Nugraha, Cahya Nurdiansyah Rudi Nurismalatri Nurismalatri Oktavia, Andiny Trie Prabawati, Lucky Pramudya, Henang Duta Puji Rahmawati Purnomo Hadi Susilo, Purnomo Hadi Putra, Ryan Syahriel Maulana Putranto, Akhsana Naufal Putro, Dilla Praditya Hutomo Retno Wulandari Rina Rifqie Mariana Rinawan, Rangga Bayu Rizqi Prayoga Editya Rosa Putri Pertiwi Sahal, Ahmad Salsabila, Titalia Trias Santoso, Gilang Aditya Sevira Nallendra Putri Shafa Wulan Ramadhanti Siregar, Ivana Maretha Soufhwee Abdul Rahman Suci Qolbiah Supawi Pawenang supawi pawenang Susanto, Yohana Ruth Wulan Natalia Syah, Yasifun Ardian Syahidah Amaturrosyid Teruaki Ito Titi Mutiara Kiranawati Trias Salsabila, Titalia Tuwoso Vania, Nur Izza Vertic Eridani Vertic Eridani Budi Darmawan Virna Rachma Fitriani Widi Rimastuti Widowati, Tamara Rahma Yudistira, Febrina Dzuldah